Please keep in mind that essential concepts and technologies used for the construction of our Hoverorb, Hoverpod, and Hoverbus platforms are protected by international copyrights and worldwide patents.

In addition, we have adapted one of our modules to substitute a component of a specific type of aircraft. In this way, we save much development time and accelerate the obtainment of the Certificate of Airworthiness (CofA) once again (see also the Further steps of the 17th of May 2017).

We predict the future by inventing it™.

04.August.2017
Website update
The Picture of the Day of the 21st of May 2017 has become an Original.

In the issue Ontonics Hoverland #3 of yesterday we said at first "Where we are going, we do not need rails." but removed the statement later due to our Hovertrain™ platform and Raylev™ Transport System. Correspondingly, we added the missing links to the Clarification and Original vs. Inspiration of the 13th of August 2013.
We also updated the map a little by bringing back the icon for VTOL aircrafts, correcting Hoverspeed with Hovertrain and Pod with Hoverbus, and adding Hoverpod.

Interim injunction to ban Daimler operating systems and services required
We made a very rough estimation about the damage that has been inflicted in the last 3 years and is sharply increasing by the activities of the vehicle manufacturer Daimler, specifically by its marque Mercedes-Benz, other marques of Daimler, and other companies based on the following facts:

For sure, we have to consider the effect of spreading our works so much in a short time by the company Daimler, but obviously this would have happened as well when handled in a legal way by Daimler, and it also blocked the development of our corporation so that we are unable to distribute it, obviously as well. The latter has to be prized in again with other issues.

Furthermore, the

require an interim injunction as soon as possible to ban the

Clarification
Sadly to say, we have to recall and emphasize once again that our

• transformation of visions, fantasy and fiction into reality, as can also be seen with our OntoLab, and
• implementation of such transformations and realizations even in unforeseeable and unexpected ways to surprise the public and also provoke sudden changes of direction of the public, as can be observed with the jumps on the bandwagons and attempts of free riding by the industries,

and

See the

Ontonics Hoverland #4
Our Hoverland gets air emergency medical services and rescue services, also called air ambulance services, or air paramedic services, with the new Hoverdrone™ Ambulance, Hoverpod™ Ambulance, or simply Hover Ambulance™ (see also the issue Hovercity #12 of the 30th of July 2017), which conducts air transportation to move patients to and from hospital deserts, healthcare facilities, and accident scenes with our Ambulance Hoverpod™ of Style of Speed and Roboticle (see the Style of Speed Further steps of the 30th of July 2017). Personnel provide comprehensive prehospital, emergency, and critical care to all types of patients during (aero)medical evacuation or rescue operations aboard the Ambulance Hoverpods.

05.August.2017
Comment of the Day
Hoverplane™

Ontonics Hovercity #14
Some critics said that realizing a transport system solely on aerial vehicles will not work, because in bad weather conditions they cannot fly. Indeed, this is a problem, which also applies for all ground based transport systems (e.g. storm and heavy rain and snow) and even underground transport systems (e.g. flooding).

We are pleased to reveal the information that we have already combined our Hover Transport System based on for example the Hoverorb, Hoverpod, Hoverbus, Hovertrain, and Hoverplane platforms of Style of Speed with the Weather Control System (WCS) 1.0 of our 3D infrastructure Superstructure (see the issue Superstructure #13 of today).

In fact, the Weather Control System (WCS) will already be in place at most villiages and cities with the installation of the Ontologic Net (ON), Ontologic (OW), and Ontologic uniVerse (OV), and other systems of our Hovercity.

Join the bright side of the force. Become a member of our Hovercity Association and Hover Association.

Ontonics Hoverland #5
Some critics said that realizing a transport system solely on aerial vehicles will not work, because in bad weather conditions they cannot fly. Indeed, this is a problem, which also applies for all ground based transport systems and even underground transport systems (e.g. flooding).

We are pleased to reveal the information that we have already combined our Hover Transport System based on for example the Hoverorb, Hoverpod, Hoverbus, Hovertrain, and Hoverplane platforms of Style of Speed with the Weather Control System (WCS) 1.0 of our 3D infrastructure Superstructure (see the issue Superstructure #13 of today).

In fact, the Weather Control System (WCS) will already be in place at most urban areas with the installation of the Ontologic Net (ON), Ontologic (OW), and Ontologic uniVerse (OV), and other systems of our Hoverland.

Join the bright side of the force. Become a member of our Hoverland Association, Hover Association, and Silk Skyway Association.

Ontonics Superstructure #13
We have integrated our Weather Control System (WCS) 1.0 (see the issue #10 of the 10th of July 2017 and the Ontonics Further steps of the 10th, 11th, and 14th of July 2017) with the Hover Transport Systems of our Hovercity and our Hoverland (see the related issues Hovercity #14 and Hoverland #5 of today).

Join the bright side of the force. Become a member of our Superstructure Association, Hover Association, and Silk Skyway Association.

06.August.2017
Ontonics Further steps
We combined two technologies of us to solve a foundational problem with one of these technologies in a quite unorthodox way.

Ontonics Hoverland #6
We worked a little on our EU Hover Association (EUHA) Trans-European Network (see also the Clarification and the Original vs. Inspiration of the 13th of August 2013, the issues Superstructure #8 of the 14th of May 2017 and Superstructure #13 of the 5th August 2017, and the issue Hoverland #3 of the 3rd August 2017).
Needless to say, our Hoverpods, Hoverbusses, Hovertrains, and VTOL airplanes are not bind to train stations, airports, and even the infrastructure of our Raylev Transport System and therefore can also be used wherever needed.

© Trans-European Transport Network

The map shows the so-called core network corridors and represents only a sketch of our EUHA network that is missing straight links and additional links between countries, regions, cities, and villiages.

22.5 billion euro per year in new businesses - 210,000 jobs
At least and this is only the beginning.

07.August.2017
Original vs. Inspiration
1. row: Popular Mechanics August 1964, cover picture, Major de Seversky's ion-propelled aircraft
2. row: Fantastic future ionocraft

© Hearst Communications→Popular Mechanics and :(

When we saw de Seversky's ionocraft the first time several years ago, we were fascinated and had to conclude that others have developed the technology already. But on a closer look it came out that an ionocraft is not practical because of its foundational properties (see also the Ontonics Further steps 24th of June 2017).

Ontonics Superstructure #14
We would like to show an initial sketch of our World Wide Hover Association (WWHA) Transcontinental Network respectively Silk Skyway presented in the issue #8 of the 14th of May 2017.

© :(

The map shows the so-called core network corridors and represents only a sketch of our Silk Skyway that is missing straight links and additional links between, continents, countries, regions, cities, and villiages.
The US Hover Association (USHA) Trans-American Network was presented in the issue Hoverland #3 of the 3rd of August 2017 and the EU Hover Association (EUHA) Trans-European Network was presented in the issue Hoverland #6 of the 6th of August 2017. The other continental networks will be presented at appropriate times.

125 billion euro per year in new businesses - 1,250,000 jobs
At least and this is only the beginning.

We are also thinking about a map projection for our OntoGlobe as the starting point for our global

that is projected into 2D and 3D in any appropriate way (e.g. cubes). Preferable would be a conformal map projection (e.g. Mercator projection) and an area preserving projection.
Obviously, this would make the shown transport network routes some kind of main streets, as known from U.S.American cities for example, or even obsolete (see also the Ontonics Further steps of the 19th of April 2017).
Grid? Tron? No, much better: Ontologic uniVerse. :D

Investigations::Multimedia

Btw.: We are considering to take the Apple iPhone, the Goolge Pixel, the Samsung Galaxy, and other mobile devices out of the shops worldwide together with prosecutors.

08.August.2017
Ontonics Hovercity #15
We are pleased to reveal the information that we have already combined our Hover Transport System based on for example the Hoverorb, Hoverpod, and Hoverplane platforms of Style of Speed and the Hoverbee and Spray Pigeon drone platforms of Roboticle with our Earth Life Sciences project Agriculture NG™(see also the issue Superstructure #15 and Roboticle Further steps of today).

Ontonics Hoverland #7
We are pleased to reveal the information that we have already combined our Hover Transport System based on for example the Hoverorb, Hoverpod, and Hoverplane platforms of Style of Speed, and the Hoverbee and Spray Pigeon Unmanned Aerial Vehicle (UAV) models of Roboticle with our Earth Life Sciences project Agriculture NG™ (see also the issue Superstructure #15 and Roboticle Further steps of today).

Ontonics Superstructure #15
We have integrated our Earth Life Sciences project Agriculture NG™ with our Weather Control System (WCS), our World Wide Hover Association (WWHA) Transcontinental Network respectively Silk Skyway, the Hover Transport Systems of our Hoverland and our Hovercity, and more drone models/platforms of Roboticle (see the issues #8 of the 14th of May 2017 and #14 of the 7th of August 2017, and also issue #13 of the 5th of August 2017 and the related issues Hoverland #7 and Hovercity #15 of today).

Roboticle Further steps
For sure, with so to say the first buzzing of our Hoverbee (see also the Further steps of the 26th of June 2015, 30th and 31st of May 2017, and 31st of July 2017) we could begin to utilize them for Swarm-Engineering.
One prominent application is the Earth Life Sciences project Agriculture NG™ of Ontonics, that could also be described as the farming of the next generation, where we use our Hovebee to distribute substances, like for example pesticides, insecticides, decontaminating substances, pollen, and suchlike, as we do with our Spray Pigeon and the Hoverorb, Hoverpod, and Hoverplane platforms of Style of Speed.

09.August.2017
Comment of the Day
Hover hub™
Hover fly™

Roboticle Further steps
We have designed a new model of our Hoverbee series and a model of our new Hoverfly series. Masterpieces.

We have designed two models of a new Hoverdrone series (see also the Ontonics Further steps of the 21st of February 2017). Masterpieces, too.

We have also designed three models of a new Hoverdrone series. Masterpieces, third.

Investigations::Multimedia, AI and KM

10.August.2017
Ontonics Further steps
Save your time, save your breath, save your money
OK, OK, OK, we shut up and take your money for our Hoverdrone, Hoverboard, and Hoverpod coming soon.
And do not forget our Swoop.
And do not forget our clean diesel fuel and clean gasoline.
And do not forget our ...
And do not forget our OOO models of Ontoscope and intelliTablet as well as our Homebench, Flexbench, and Gamebench are also short before their releases (see all messages of the 11th of July 2014).

Style of Speed Further steps
The revolution continues with our piloted, platooning, and autonomous Hovertruck™ and Hovertrain™ platforms:

Furthermore, we concluded that our business model of our Quickcharger, Quickflasher and Superflasher, as well as Splash and Dash Service Stations, that is based on a fuel, which is unbelievably low in price and was mentioned in the Further steps of the 17th of July 2017 for the first time, is even much more profitable, so that we are thinking about reducing the prize for our clean diesel fuel and clean gasoline that in the end will cost between 20 and 33% per liter or gallon of the actual price depending on various conditions (see the Further steps of the 27th and 28th of July 2017).
Yes indeed, our fuels are cleaner and cheaper than the power out of the plug. :D

Join the bright side of the force. Become a customer or even an investor of Style of Speed.

Investigations::Multimedia, AI and KM
*** Work in progress - better wording, some more explanations and OS links ***

The AI technology seems to be related with the SyNAPSE project of the Defense Advanced Research Projects Agency (DARPA), which we discussed several times in the past (see the Clarifications of the 16th of July 2014 and 8th of August 2014, and the Ontonics Further steps of the 10th of August 2014 and the Ontoscope Further steps of the 20th of September 2014 and 14th of April 2017).

See the Clarification of the 11th of March 2008 and the comment to the Picture of the Day #1 of the 16th of May 2011, the comment to the Original of the 13th of November 2009, the Investigation of the 28th of February 2010 (keyword neural net), the Investigations::Multimedia and Robotics of the 7th of September 2010, and the cases of the company International Business Machines in the Investigations::AI and Knowledge management, Multimedia and Robotics of the 19th of August 2011 and 10th of August 2014, and the Investigations::AI and Knowledge management, and Robotics of the 24th of September 2010 and 19th of October 2012 (which was also copied by Motorola Solutions and its partner).

Ontonics Website update of the 16th of July 2010, and the Ontonics Further step of the 7th of September 2010
See the section Integrated Circuit/Chip of the webpage Links to Hardware of the website of OntoLinux.

See the point 4. of the Investigations::AI and Knowledge management, Multimedia and Robotics of the 21st of May 2011.

For sure, the combination of a (digital) camera with AI for object recognition is not new and potentially also has originated in the fields of computer vision and robotics, and potentially is utilized together with lifelogging as well (see also the OntoLogger software component for Ontologic LifeLogging). But the abstraction of e.g. a mobile device, such as a smartcamera, a smartwatch, a smartphone, and a smarttablet, as a robot head, a cyborg head, and a self-portrait with the Ontoscope is an original and unique act, that makes the Ontosope a (multimedia) work of art and there is absolutely no doubt that the Ontoscope is related with the 3D camera series Ontoscope of the company Cornu.
Furthermore, the causal link with our original and unique works is given with the touchscreen display of the body-worn camera, its connection with distributed computing and cloud computing, specifically "cloud-based data storage" and "digital evidence management", Softbionics and Artificial Intelligence 3 (includes Artificial Intelligence (AI) and Machine Learning (ML)), cognitive computing, neural net software and hardware, and the misleading marketing slogans "Innovative 3-in-1 solution" and "Unified. Simplyfied. Smart." of Motorola Solutions, which prove that our Ontologic System and Ontoscope have been taken as blueprint in a top-down approach, which again constitutes a copyright infringement and other infringements of our rights. Said this, Motorola Solutions and its partners have lost the game already around 10 years ago. Convicted!!!

We have not analyzed the research papers of one of the founders of the other company, but our first impression is not the best respectively the main author seems to be a fraudster.

Last but not least, take a look at the Question of the Day of the 9th of August 2014.

Btw.: Since this month we use the abbrevation KM for Knowledge Management.
Please do not report about such criminal plagiarisms and activities anymore.
Bitte nicht mehr über solche kriminellen Plagiate und Aktivitäten berichten.

11.August.2017
Ontonics Further steps
We found a technique and technology for a long-term problem and selected the first products. It would be really great if the technique would work in a satisfactory manner.
In addition, we also connected the technique and technology with one of our services.

Style of Speed Further steps
We thought that it was time to throw our hat in the ring as well in relation with the movement that displays common automobiles as landspeeders.
In fact, the image of Steve McQueen's 917 hovercar respectively landspeeder is related with the 91x series based on our Speeder system platform (see the Further steps of the 11th of May 2017 and 28th of July 2017).

© :( and Style of Speed

13.August.2017
Ontonics Further steps
We worked on one of our fusion reactors and designed it in a large size for a power plant, a medium size for a vehicle (no, we have not said Model T), and a micro size for a mobile device.

Roboticle Further steps
We worked on one of our drone models with anti-gravity device and were short before showing a first image of the first design of its first generation (see the Further steps of the 31st of July 2017. But then we got from an(other) expert gave the information that one component is not as durable as required by us to make our fans and customers happy. Luckily, we did not need to go back to the drawing board but could take one of our other technologies out of the stock that we use for a smiliar drone model (see also the Further steps of the 9th of August 2017).
Nevertheless, we keep the first drone model in our product range, because either we take an improved variant of the component or do not improve it as a lower budget option.

14.August.2017
Comment of the Day
Hover power™
Hover power unit™

Clarification
We consider the following statement as a copyright infringement and a reputation infringement as part of an act of unfair business practices: "Don't use drones to carry your goods! Turn your goods into drones!" as we do in the case of the stolen concept of the other original and unique multimedia work of art titled Lighter Than Air Walker and also created by C.S..

Ontonics Further steps
In relation with a specific application of one of our techologies we encountered a problem. After thinking about it we found a first solution, which is relatively trivial. But we are also thinking about another possibility to improve this technology, which led to a second solution of said problem and also to said improvement.

Roboticle Further steps
We continued the work on one of our Hoverdrone models (see for example the Further steps of the 17th of April 2017 and 13th of August 2017 (yesterday)).
The image shows our first design of a very basic Hoverdrone™ respectively Quadrovector™ or Quadvector™ with anti-gravity devices (4 Hover Power™ Units (HPUs) as tiles), and 32-bit flight controller but without battery and wiring.
Its dimension is around 70 mm × 70 mm/2.76 in × 2.76 in and its weight should be around 30 g/0.066 lb as shown, like a typical palm-sized micro quadcopter without battery. With carbon fiber as base material we should be able to decrease the weight to 20 g/0.044 lb (see also the Further steps of the 25th of March 2015).

© :), wiseGeek, and Roboticle

Camera modules for imaging and First-Person View (FPV) piloting are also available. For FPV piloting we highly recommend our Ontoscope VRontier™ high-tech Head-Mounted Displays (HMDs).

Obviously, we do not talk about fairy tales on the one hand but on the other hand we also do not give any informations about the working of our anti-gravity device and repulsorlift engine technologies with this image. Honestly, we even do not know

Said in other words, the status of this work seems to be more experimental development but could be production ready already.

Please keep in mind: Original and unique work of art, copyrighted, patented, patent pending, or/and patent queuing.

Said that, all copycats, kleptomanics, and criminal entities should spend their time with paying their open bills and writing one or more license applications for our various intellectual properties, because otherwise serious problems may arise.

15.August.2017
Ontonics Superstructure #16
We worked on the traffic control system and the related positioning system and navigation system of our 3D traffic network of our 3D infrastructure, which includes the World Wide Hover Association (WWHA) Transcontinental Network respectively Silk Skyway (see the issues #8 of the 14th of May 2017, #10 of the 10th of July 2017, and #14 of the 7th of August 2017), US Hover Association (USHA) Trans-American Network (see the issue Hoverland #3 of the 3rd of August 2017), and EU Hover Association (EUHA) Trans-European Network (see the issue Hoverland #6 of the 6th of August 2017).

In relation with the traffic control system we harmonized the 2D maps of our traffic network with the 3D space of the vertical and horizontal passages, aisles, or skyways proposed in the issue #10 of the 10th of July 2017 and decided that the space above seas, lakes, rivers, forests, deserts, mountains, and all other areas that virtually are no whereabouts of humans become the first Highways in the Sky and Autobahns in the Sky.
Furthermore, we worked on the traffic regulations in accordance with common rules of navigation and federal regulations for road, water, and air traffic. For example, a vehicle that comes from the right side or/and above has always priority/right of way.
These arrangements or provisions can be taken by the Federal Aviation Administration (FAA) and other federal aviation authorities as foundations to harmonize their air traffic management systems with our traffic management system.

In relation with the positioning system we harmonized our 3D traffic network with the rest of our Ontologic System (OS) (see for example the Ontonics, OntoLix and OntoLinux Further steps of the 2nd of May 2016) and services (see for example the issue Ontonics Hovercity #1 of the 3rd of February 2017).
At this point, we remembered that many years ago we had the same problem in relation with various applications, such as weather forecasting and later weather control for example, and made the decision to keep it as flexible as possible and as precise as required for a specific application. That said,

are handled by our Ontologic System (OS) and its

which are installed on the related stationary and mobile devices and systems.

In relation with the navigation system we worked on an automatic routing functionality for our 3D traffic network that

16.August.2017
Roboticle Further steps
We continued the work on one of our Hoverdrone models (see for example the Further steps of the 17th of April 2017, and 13th and 14th of August 2017).
The image shows the first design of a very basic Hoverdrone™ respectively Quadrovector™ or Quadvector™ with a camera module for imaging and First-Person View (FPV) piloting.

© :), wiseGeek, :(, and Roboticle

17.August.2017
Comment of the Day
I'm flyin' it™
Flying can™
Instant dropdown™
Instant flyin™
Hover tile™
Hover plate™

Roboticle Further steps
We would like to show the first prototypes of our new type of our unforeseeable and unexpected, personal, original and unique Flying Can™ concept and platform, in this case our Flying Soda Can™ and Hover Cola™.
Needless to say, the Flying Can™ will be available in many different dimensions and designs on the one hand and on the other hand will be used for our

Even better, our small Hoverdrone shown in the Further steps of the 14th and 16th of August 2017 lifts at least around 320-360 g/ 0.71-0.79 lb if required, and our Flying Cans have a negative weight (the magic words are anti-gravity device and repulsorlift engine) and in this way are able to fulfill all legal requirements easily even when transporting higher volumes such as Hover Beer™.

© :(

We are also pleased to announce the related delivery drone service called Instant Dropdown™ or Instant Flyin™, which is the successor of the retrograde pickup services and suchalike.

We also continued the work on one of our Hoverdrone models (see for example the Further steps of the 17th of April 2017, and 13th and 14th of August 2017).
The image shows the first design of a very basic Lego® Hoverdrone™ respectively Quadrovector™ or Quadvector™ with anti-gravity devices (4 Hover Power™ Units (HPUs) as dishes), and 32-bit flight controller but without battery and wiring.

© :) and :(

I'm flyin' it™

Style of Speed Further steps
In the last week, we have begun to

Let us describe the results in the following way: Amazing.

18.August.2017
Comment of the Day
The future is on™

Ontonics Further steps
We developed a high-performance flight controller, that has the potential to become the standard in nano and micro Unmanned Aerial Vehicles (UAV)

We also integrated one of our technologies with another technology. But we are not sure if this makes sense from the economical point of view on the one hand and if we have invented it already on the other hand (looking into our stocks).

Roboticle Further steps
While working on our Hoverdrone models shown in the last days, we suddenly had the first design of a very basic nano quadrovector, nano quadvector, or mesivector (Please see the Clarification of the 26th of March 2015 for the nomenclature designations used by us in the field of Unmanned Aerial Vehicles (UAVs)).
Below we list some specification data for the first generation:

• weight: 10 g or 0,022 lb
• dimension: 25 mm × 25 mm

The dimension of a nano quadvector depends on the sizes of the Hover Power Units (HPUs), electronic components, and energy storage devices that are utilized for its construction, but the manufacturing of HPUs with customized sizes and shapes is possible (see for example the Further steps of the 17th of August 2017 (yesterday)).
The mesicopter with its 15 mm wide rotors shown in the left image of the Further steps of the 8th of July 2016 and the HPU tiles shown in the images of the Further steps of the 14th and 16th of August 2017 have also a dimension of ca. 25 mm × 25 mm.

The range and the endurance of this nano quadvector model are

Before we could understand our new Hoverdrone design we also got new models for our Swiss Army Drone and U.S. Army Drone series (see the Further steps of the 19th of September 2016, 17th of April 2017, and 16th of July 2017).

C.S. made a second sketch of the design of a smaller Swiss Army Drone.

© :(, Roboticle, and C.S.

Honestly, this rapid development is a little mindblowing even for us.

Authorities and agencies can give in their requirement specifications and place their orders.
It is always better to fly with us. :D

19.August.2017
Original
Ceci N'est Pas un Drone==This is Not a Drone (Yesterday and Today)

© C.S.

This flying, floating, or hovering chip, processor, or Central Processing Unit (CPU), or Hover Power Unit (HPU) of the multimedia works of art series titled Hoverinium, Pervasive Hovering, and Hovering Computing, and created by C.S. is original and unique, unforeseeable and unexpected, and best of all, definitely even is not the result of an ordinary technological progress. And if somebody is still not convinced about its special protection, then we would like to mention OS and Ontoscope, and also Hoverscope, etc. as well.
See also the Original and the Clarification of the 21st of May 2017, the Original and the related comment of the 17th of June 2017, and also René Magritte.

Btw.: We would like to suggest to call it la drone et une drone.

20.August.2017
Ontonics Further steps
We have adapted a technology of an old system for one of our device. In fact, we already worked on this adaption but have not realized it in the specific way as we did today.

Ontonics Super Warrior #15
We developed another Personal Reconnaissance System (PRS) based on a new paper plane-sized Unmanned Aerial Vehicle (UAV) with anti-gravity devices (see also the Roboticle Further steps of today).

Roboticle Further steps
For sure, we utilize our Hoverwing and Hover Power Unit (HPU) technologies and other anti-gravity devices for the construction of small planes as well.
Since the 14th of August 2017 we developed three basic models, that are based on different ways of construction and have the dimensions of a palm-sized micro UAV, a mini UAV, and a paper plane-sized UAV, and a basic module that will give children of all ages a smile in their face and professionals high-performance tools (see for example the Ontonics Super Warrior #15 of today).

Below we list some specification data for the first generation of the paper plane-sized UAV:

• weight: 45 g or 0,099 lb
• dimension: 280 mm × 150 mm

21.August.2017
Ontonics Further steps
We have developed another variant of a technology.

Ontonics Super Warrior #16
As part of the third revolution in warfare, we composited the latest generation of our platform for managing autonomous weaponry, which is based on SoftBionics (SB), including Artificial Intelligence (AI), Machine Learning (ML), and Evolutionary Computing (EC), for operating our long range negotiation tool (see the Roboticle Further steps of the 14th of January 2017) and our new negotiation tool of our Super Warrior platform (see the issue #14 of the 9th of July 2017).

It is always better to collaborate with us and join our highly effective team.
Authorities and agencies can give in their requirement specifications and place their orders.

Btw.: As long as serious criminals are lying and stealing our intellectual properties we are not interested in discussing their incompetent nonsense at all.
In fact, all those fraudsters are the true problem, the Box of Pandora each and every day doing bad things, but not machines, robots, AI, ML, and EC, and so on, as we said in the past already.
"We do not have long to act." Wrong, they are already too late, they still have not understood what we are saying, they still are refusing to stop their nasty actings, and we do not wait for them anymore since the start of the Super Warrior project with its issue #1 on the 3rd of November 2015. Instead, we are putting everything that companies like for example Google, Microsoft, Amazon, International Business Machines, Qualcomm, Intel, Motorola, Tesla, and Co. as well as Samsung and many others have stolen, are stealing, and will steal from us in the fields of SB into any of our robots inclusive our negotiation tools as needed.
The right alternative is that they license our Ontologic System, Ontoscope, and all the other nice, original and unique things of us, so that we remain neutral and keep such capabilities out of specific machines or, if this is not possible, handle them in appropriate ways.
Hopefully, they have understood at least these simple rules of the game. :)

OntoLix and OntoLinux Website update
For further realizing our OntoGlobe and related systems, applications, and services we added to the section Earth Simulation/Virtual Globe of the webpage Links to Software the project:

See also the webpage Overview, the OntoCAx and OntoBlender software components, and the issues Ontonics Superstructure #14 of the 7th of August 2017 and Superstructure #16 of the 15th of August 2017.

One of the most interesting points is that "[t]he defining features of MPAS are the unstructured Voronoi meshes and C-grid discretization used as the basis for many of the model components. The unstructured Voronoi meshes, formally Spherical Centriodal Voronoi Tesselations (SCVTs), allow for both quasi-uniform discretization of the sphere and local refinement. [... a] model takes advantage of the SCVT-dual mesh, which is a triangular Delaunay tessellation appropriate for use with Finite-Element-based discretizations." This was exactly one of our thoughts around the year 2000 or so.

Even better, we wanted to add the technique of Voronoi diagram for other applications as well, such as

See also the OntoCOVE, OntoNet, OntoWeb, and OntoVerse software components.

Said this, we also added to the section Network Technology of the same webpage the project:

"VAST is a light-weight network library that supports Spatial Publish Subscribe (SPS) so that virtual worlds such as MMOGs [...] can be built more scalably.
Existing virtual worlds rely on static resource provisioning and partitioning that are expensive to deploy and have inherent scalability limits. VAST intends to provide an [...] alternative that is scalable, affordable, and easily deployable.
VAST will have these properties due to a peer-to-peer (P2P) design, so that resource nodes can be added or removed any time, and dynamic load balancing is possible. VAST relies on a Voronoi-based Overlay Network (VON), which performs neighbor discovery and spatial queries in bounded amount of time (i.e., the query time does not increase as more nodes join the system). Additionally, VAST uses VSO to perform load balancing, and VoroCast to distribute messages via forwarding."

"[The authors] present VAST, a generic P2P overlay that provides spatial publish/subscribe (SPS) services with layers to support different VE requirements. The overlay accommodates both regular and super-peers, and evolves based on the state of the application.
VAST takes into account the physical topology (i.e., network distance) between peers and the heterogeneity in peer resources so that requirements of different kinds of VEs are met in a practical, flexible, and efficient manner. Our analysis and simulations show that the adoption of super-peers provide a unique design space where both the required bandwidth at the server, and the average latencies among clients, can be effectively reduced, such that even a crowded virtual world region can be hosted under residential ADSL environment."
VAST fits nicely with the Virtual Object System (VOS).

Due to nasty foul plays and even criminal activities we substituted in the section Collaborative Virtual Environment the link:

with the correct link:

added the document:

and marked the link with a * and **, because some contributors are under investigations or have already been convicted of infringing our copyright.

In general, the markers * and ** will be removed if all infringing material has been removed from the World Wide Web and any other place, and our original and unique multimedia works of art have been referenced.

As can be seen once again, our Ontologic System (OS) is thoroughly thought out and hence is so much more, specifically much more original and unique, unforeseeable and unexpected.

22.August.2017
Investigations::Multimedia, AI and KM
*** Work in progresss - complete sentences and links; some links might be missing ***

and instead either used

to mislead the public deliberately.
At least one project even proves that we have not only common plagiarists, who infringed our copyright, but criminals, whose goal is not to just create a scientific paper by copying parts of our Ontologic System (OS) but to create a fake timeline for damaging the reputation of C.S. and our company as much as possible and deleting our existence.

Because this case is relatively huge we have broken this investigations down into two parts:

Nevertheless, in all cases the authors and their advisors were too incompetent, so that we were able to convict them not only for infringing our copyright but also for conducting infringements of our right that go beyond a simple fraud, were realized in a group, and were done with the goal to gain personal and economical advantages, which renders them as serious crimes.

In this first part of this investigation we have read several publications, including a webpage, scientific papers, and posters, quoted the relevant sections of them, and gave related comments and links to our original sources.
Webpage with a short summary authored by Yiwen Sun, Jason Leigh (Director, EVL), Andrew Johnson (Associate Professor, CS / EVL), Barbara Di Eugenio (Associate Professor, CS), and Luc Renambot (Research Assistant Professor, CS / EVL): "[The application] is a semi-automated visual analytic system that is guided by a conversational user interface to allow users to verbally describe and then manipulate what they want to see. Natural language processing and machine learning methods are used to translate the imprecise sentences into explicit expressions, and then a heuristic graph generation algorithm is applied to create a suitable visualization".

First paper authored by the plagiarists Yiwen Sun, Jason Leigh, Andrew Johnson, and Sangyoon Lee: "[The application]: A Semi-automated Model for Translating Natural Language Queries into Meaningful Visualizations [We have an automated model/executeable model, such as an agent (executable UML) or the related part of our OntoBot, Natural Language Processing (NLP), meaning/semantics, as well as Visualization.]", "[The application], an attempt at a semi-automated visual analytic model that is guided by a conversational user interface to allow users to verbally describe and then manipulate what they want to see. We use natural language processing and machine learning methods to translate the imprecise sentences into explicit expressions, and then apply a heuristic graph generation algorithm to create a suitable visualization. [See the sections Natural Language Processing, Intelligent/Cognitive Interface, and Visualization, as well as the OntoBot and OntoScope software components.]", "The goal is to provide a streamlined experience to nonexpert users, allowing them to focus on using the visualizations effectively to generate new findings. [See the point Problem Solving Environment (PSE) listed on the webpage Overview and the related sections of the webpage Links to Software of the website of OntoLinux.]", "[...] a 2007 National Science Foundationworkshop report on "Enabling Science Discoveries through Visual Exploration" noted that "there is a strong desire for conversational interfaces that facilitate a more natural means of interacting with science." [See again PSE and the related sections in the Links to Software.]", "[...] spoken dialog [...] [See section Natural Language Processing once again.]", "This inspired us to adopt a conversational interface in the semi-automated visual analytic model. [As we show here, the inspiration was our Ontologic System OntoLinux, obviously and definitely. See also the project Visualytics (Visual Analytics) of the Innovation-Pipeline of Ontonics.]", "In this paper, we propose a two-step process to translate a user's verbal description to a representative visualization: first, parse the imprecise queries into explicit commands using natural language processing and machine learning methods; then, determine an appropriate type of visualization based on the commands and data properties automatically. [Obviously, OntoBot and OntoScope software components. See also the Feature-Lists and the section Softbionics and Artificial Intelligence 3 of the webpage Terms of the 21st Century.]", "In this initial work we limit the types of visualizations that can be generated to standard 2D graphs and plots. However in the future we fully intend to extend this to accommodate complex visual representations such as those commonly used in scientific visualization (such as volumetric or streamline visualizations). [See OntoScope software component section Visualization of the Links to Software.]", "The primary contributions of this research include: 1) the incorporation of a conversational interface and natural language parser to allow for natural language input rather than grammar based commands; 2) the development of an algorithm to automatically generate graphs based on the classification of visual analytic tasks; 3) the development of a Simplified Visualization Language (SimVL) as an intermediate expression for a user's specification, which is precise, and easy to convert in a representative graph. [Point 1 is Natural Language Processing again. Point 2 is something like graph grammars and PROgramming with Graph REwriting Systems (PROGRES). Point 3 intermediate expression is related with OS feature of "natural language and image processing, and logics". See also the comment in the OntoLix and OntoLinxu Website update of the 23rd of April 2016 and 12th of May 2016, as well as the Investigations::AI and Knowledge management of the 10th of June 2016 and 27th of December 2016 (keyword SVG).]", "[...] VisQL specification language [...] [See also PROGRES once again, that is listed in the section Multiparadigmatic Computing of the Links to Software.]", "[...] demonstrated a semantic model for automatic transfer function editing in volume rendering applications [...] [See OntoBot and section Visualization]", "Another interesting approach [...] simplifies the creation of customized visualization applications with a pipeline. Once the pipeline is constructed, the application can be generated automatically. [See the OntoScope software component which is based on the OntoBot and the general pipelines of Graphics Processing Units (GPUs) and related 3D graphics libraries.]", "A number of speech-based interfaces have been developed that help users to access information using a conversational paradigm. [...] worldwide weather forecast information over the phone using spoken dialog [...] travel planning, health information access [...] [See section Natural Language Processing once again to find for example the dialogue management in the Mercury flight reservation system used for travel planning.]", "[... A Multi-Modal Natural Language Interface to an Information Visualization Environment] was the first to integrate a natural language interface into an existing information visualization system. [The] work takes the natural language question, determines the appropriate database query, and presents the results to the user. [Important to note here is the point that we with our OS have generalized the whole task and this prior work completely, including visualization and visual analytics (see also the Clarification of the 26th of July 2017). Therefore, the plagiarists have only copied our general approach in parts. In addition, presenting prior art, that is also included in our OS, does not mean that it is allowed to use our OS as a blueprint and it also changes the situation in relation to an ordinary technological progress respectively a fair use of our works, as we discussed in the Clarification #1 of the 21st of July 2017. At this point we always mention the Pictures of the Day of the 25th of July 2013 and the related comment with the judgement of Judge Birss.]", "Though the idea of using a conversational interface to craft visualizations is not new, our work addresses a growing trend toward in this area, as witnessed in the recent work of Wolfram Research. [We have convicted that company of infringing our copyright already in the past. What we see here is that the publics is deliberately misled about the true origin of all those plagiarisms.]", "[...] input parser will interpret the sentence as a request for a relationship graph [...] This interpretation is expressed as SimVL commands and entered into the graph generator [...] Properties of various various graph types [Suddenly, we have a relationship, a graph, graph types, and so on. In fact, here we are at graph grammars for graph generation, PROGRES, and eventually our OntoBot.]", "The reasoner uses this information to determine that the most appropriate visualization will be a scatter plot. [Bingo!!! OntoBot and OntoScope. At this point we could stop the investigation already, but we will provide as much as possible evidences.]", "The essential parts of our framework are two steps: input parser and graph reasoner. [Obviously, it is the OntoBot. See also section Multiparadigmatic Computing once again.]", "The translation of user's imprecise specification is based on a natural language parser imbued with machine learning algorithms that are able to make reasoned decisions automatically. [OntoBot, Feature-Lists and the section Softbionics and Artificial Intelligence 3]", "[...] apply a supervised learning method in this space to predict the class of the task [...] [See Softbionics and Artificial Intelligence 3 and webpage Ontologic Applications.]", "[...] nine-dimensional space [...] [Compare with the designatio n-Dimensional OS (nDOS) of OntoLinux.]", "[...] decision tree learning method to classify the query [...] [See OntoBot and Softbionics and Artificial Intelligence 3 or more precisely Machine Learning (ML).]", "[...] the graph reasoner works as a smart agent carrying out a similar reasoning process autonomously. The rules of reasoning can be divided into three categories [...] [OntoBot and section Intelligent/Cognitive Agent of the webpage Links to Software. We also have the 3³ Theme of C.S. here.]", "[...] - Find [...] - Find [...] - Find [...]", "[...] conversational interface [...] a more active feedback from the system will be needed, for example suggesting related queries as well as associated results to help the user find their solution. [See Natural Language Processing and Ontologic Applications.] ", "[...] Metadata is needed for providing context to parsing [...] One solution might be usingWordNet[16] to find Synset for each attribute. [WordNet is linked in the seciton Natural Language Processing.]", "Another field needed in the metadata will be the Units of the data. [We already use ontologies for domain knowledge, which have been introduce to solve such metadata problems.]", "We integrated natural language processing and automated graph generation algorithm to make the implicit sentence semantics explicit in the final representation. [Let us correct this statement and say they have stolen our intergration of natural language processing and automated graph generation algorithm to make the implicit sentence semantics explicit in the final representation.]", and "Future directions in this research will include more active reaction from the system, such as suggestion of related queries in response to unclassified questions [...] [Suggestions is another word for recommendations in the context, which leads us to OAs.]".
Eventually, it is a part of our OS and an Ontologic Application.

Second paper authored by the criminal plagiarists Yiwen Sun, Jason Leigh, Andrew Johnson, and Barbara Di Eugenio: "[...] [...]", "Even a decade ago this would have seemed far-fetched, but today we are seeing renewed interest in the use of natural language as an interface to computing. [Yes indeed, and the proven reason for this renewed interest is the publication of our Ontologic System in the end of October 2006, as will become easily apparent with this investigation even for non-experts.]", "Siri, the intelligent personal assistant on iPhone 4S [...] [We have proven several times that a small company and the company Apple have stolen the combination of this Intelligent Personal Assistant (IPA) with a mobile device from the webpage of our OS. In fact, it is listed in the section Intelligent/Cognitive Interface of the webpage Links to Software as PAL - Personalized Assistant that Learns and CALO - Cognitive Agent that Learns and Organizes.]", "The field of natural language processing has made great strides in the last decades, with a variety of models that are able to understand the meaning of sentences in recommender systems, educational technology and health applications. [See the webpage Ontologic Applications, the sections Natural Language Processing, and the educational and health project in the Innovation-Pipeline of Ontonics.]", "This inspired us to consider the use of a conversational interface for the automatic generation of visualizations. [This is definitely not the case, because we have here a plagiarism of our OS OntoLinux.]", "Note however that in this work we are not simply translating explicit visualization commands [...] Instead the expectation is that our approach will enable a user to ask deeper questions about data [...] without having to follow or memorize a strict grammar or command structure, as has been in the past. [Guess what we did more than 5 years before them?]", "While the initial prototype produces information visualizations, we will also explain and show through a case study how the approach is conceptually extensible to scientific visualizations as well. [See OntoBot and OntoScope software components and section Visualization of the webpage Links to Software]", "[...] Mackinlay's APT system [Automating the Design of Graphical Presentations of Relational Information] [We have discussed many times the relational foundations of our OS. See the OntoFS software component for example.]", "[...] composition algebra to describe various graphical encoding and developed expressiveness and effectiveness criteria to ensure meaningful design [...] [This sounds a little like quality management.]", "[...] [Interactive graphic design using automatic presentation knowledge] extended the concepts of APT [...]", "[...] automatically create visual discourses - a series of animated visual illustrations for explaining complex information to users. His work was extended [...] which used an AI planning-based approach to automatically design and create such discourses [...] [At this point it becomes already obvious that our development process has been recapitulated only and documented in a way that should mislead the public about the true origin of our works. Once again, the existence of prior art and to repeat its combination in a way as we did before with the composition of our Ontologic System Architecture (OSA) does not avoid a causal link with our original and unique multimedia works of art titled OS. See the judgement of Judge Birss once again.]", "In recent years, related approaches have targeted specific application domains, rather than proposed a more general methodology. [Obviously, this is also wrong, because we always said that our ontologic paradigm does this generalization to the maximal extend that resulted even in the Zero Ontology or Null Ontology represented even by a fractal sign O#.]", "[...] [Mapping Communicative Goals into Conceptual Tasks to Generate Graphics in Discourse. Knowledge-Based Systems], a system that automatically summarizes transportation schedules as text and graphs. In this system, they proposed a set of rules to map communicative goals to low-level operational tasks [...]", "[...] [From Web Data to Visualization via Ontology Mapping] proposed an approach for automatic generation of visualizations via ontology mapping and applied the approach to web data for music. The web data was first mapped to domain ontology, and then projected to visual representation ontology, which was finally depicted as a specific visualization using external visualization toolkits. The mapping between domain and visual representation ontologies was represented by semantic bridging ontologies, which were defined from expert knowledge. By comparison, our approach uses a more flexible metalearning algorithm to automatically translate language into visualization intentions. [Bingo!!! Furthermore, we have here parts of the feature of the Bridge from NI to AI, which is already as much flexbile as possible, as it has been explained by us with RDF triple stores and OWL data stores in relation with our OntoFS software component and with other OS features.]", "The key criticism cited was that problem-solving and recall competed with speech articulation and interpretation in their use of working memory. However, Dennett [Consciousness Explained] argues that problem solving is in fact enhanced when more areas of the brain are engaged such as when you are speaking and hearing your own words (i.e. thinking a problem out loud). [Bingo!!! Here we have Problem Solving Environment (PSE) listed on the webpage Overview and the sections Intelligent/Cognitive Agent, Intelligent/Cognitive Interface, and so on, as well as reflection and The Proposal.]", "Language interfaces in a variety of settings, from educational technology to health care, have been shown to improve the user's experience and performance [The Integrality of Speech in Multimodal Interfaces, Multi-modal presentation of medical histories, Knowledge co-construction and initiative in peer learning interactions, Persuading users through counseling dialogue with a conversational agent]. [And here the criminal authors aggressively and deliberately mislead the public about the Multimodal User Interface (MUI) and the conversational OntoBot of our OS. See also the sections Natural Language Processing, Intelligent/Cognitive Agent, and Intelligent/Cognitive Interface.]", "Technically, the considerable renewed interest in the use of speech and natural language as an interface to computing is due in large part to significant computing power and new powerful statistical models that are brought to improve speech recognition and natural language interpretation. Google's director of research Peter Norvig, believes that being able to converse with computers is “the future”. Natural Language Processing, the processing of language beyond the recognition of words in speech, also made great strides in the last decade, with a variety of models that are used to understand the meaning of sentences, as shown by successes such as that of IBM Watson which defeated the two best human champions in Jeopardy! and Wolfram Alpha - a knowledge engine developed by Wolfram Research that is capable of responding to natural language based questions with computed answers and relevant visualizations instead of a list of web pages as a traditional search engine provides. Additionally, a number of speech-based computational models have been developed that help users to access information using a conversational paradigm. [Here the criminals deliberately list all those entities that we have convicted of stealing our intellectual properties related with the OS. This has been done to deliberately mislead the public and goes beyond a common infringement of copyright.]", "Recent work in the information visualization community has applied various design principles to the automatic generation of visualizations though none had used natural language nor approached scientific visualizations. Articulate attempts to combine these advanced techniques together in exploring how to automatically translate natural, and potentially ill-defined, conversational language into meaningful visualizations of data in a generalizable way [...] [And this only adds more evidence for the crime investigated and documented here. It is absolutely clear that this is a serious criminal lie because the authors do know our OS OntoLinux from which they have stolen essential parts of the presented application.]", "[...] the approach involves: extracting syntactic and semantic information from a verbal query; applying a supervised learning algorithm to automatically translate the user's intention into explicit commands; and finally, determining an appropriate type of visualization based on the translated commands and properties of the meta-data [...]", "The Input Translator takes natural language queries spoken by the user and translates them into a set of commands that follows a precise grammar, which we call SimVL (Simplified Visualization Language) - analogous to small subset of Wilkinson's Grammar of Graphics [...]. [OntoBot with rewrite rules and PROgramming with Graph REwriting Systems (PROGRES), and OntoScope.]", "[...] meta-data properties are gathered such as data units and semantic relations, which provide a brief context for interpreting the data. To obtain the semantic relations, we use WordNet [...], a lexical database that groups English words into sets of cognitive synonyms (synsets) and expresses various semantic relations between these synsets. [Obviously, this has been stolen from the webpage of our OS OntoLinux as well, as can be seen with the sections Semantic (World Wide) Web, Natural Language Processing, and Intelligent/Cognitive Agent.]", "The keywords in each dictionary are selected according to empirical knowledge and domain vocabulary. [Domain vocabulary leads to ontologies.]", "[...] shallow linguistic features were found that might help the classification of the query, for example clause type, query contains a comparative or superlative adjective or adverb, query contains a cardinal number, and query contains a quantifier. [Somehow we have the impression that this statement is about the basic properties of (mostly) being shallow- and deep-inferencing listed on the webpage Overview.]", "Three widely used supervised learning algorithms were considered for this classification job: Decision Tree, Bayesian Network and Support Vector Machine. Each model generated by one machine-learning algorithm can be regarded as an expert." [See the sections Pure Rationality and Softbionics and Artificial Intelligence 3 of the webpage Terms of the 21st Century.]", "It is more reliable to take into account the opinions of several experts rather than relying on only one judgment. Therefore, we combined a decision tree inducer, a Bayesian network learner, and a support vector machine to form a meta-learner, which takes the majority votes from the three basic classifiers. [Obviously, this is what our OntoBot does with the agent systems, reasoners, and so on listed on the webpage Links to Software, as also explained in Ontologica, Ontologico, Ontologics of the 21st of May 2016. In addition, we have here the sections Pure Rationality and Softbionics and Artificial Intelligence 3 of the webpage Terms of the 21st Century once again. By the way, we have here also a reference to the 3³ Theme of C.S. and the movie "Minority Report", which we also discussed in relation with our OS in the past (see for example the OntoLinux Further steps of the 28th of March 2012. Therefore, we have the next evidence for the infringements of our rights by the criminal authors.]", "The algorithm employed to select candidates for suggestion is based on a context-aware meta-classifier. [This is the OntoBot software component, sections Intelligent/Cognitive Agent and Intelligent/Cognitive Interface, and Ontologic Applications.]", "[...] formal grammar [...] [This is a reference to the section Formal Modeling of the webpage Links to Software somehow.]", "The Visualization Executer [...] works as an agent carrying out a similar reasoning process. [OntoBot and section Intelligent/Cognitive Agent]", "Speech recognition is achieved using the Sphinx toolkit [...] [In the meantime, they even changed form the Windows system to the speech recognition toolkit that we have listed in the section Natural Language Processing of the webpage Links to Software.]", "The first step in the expansion of [the plagiarism] towards [... an] application is to understand their usage scenario. [Obviously, this is common software engineering, specifically the phase to create the requirement specification. This leads us to the section Formal Modeling of the webpage Links to Software. Again, we can see with this point how detailed the plagiarism and aggressive the stealing is realized.]", "[...] 3D visualization [...] Finally, in the Visualization Executer, adaptions are made in the graph reasoning algorithm to accommodate 3D views. In the current prototype, VTK (the Visualization Toolkit) [...] was employed to visualize scalar data. [Bingo!!! Here we have the OntoBot and OntoScope software components as well as the section Visualization of the webpage Links to Software once again, which proves the deliberately conducted criminal looting of our intellectual properties.] ", "Since the framework of [the illegal plagiarism] is composed of distinct modules, each of them handles a single process such as data processing, language parsing, or graph generation; it is very flexible to be applied to different domain science by adjusting certain modules in the framework. [Modular architecture]", "Another direction in this research is to provide a textual or verbal explanation to the user on how and why the resulting visualization was derived by the system. When answering the user's questions, which may include requests for information about how to visualize the data and requests for clarification on what the visualization represents, Articulate needs access to its own knowledge about the implementation of the current visualization, such as the mapping from data attribute to visual primitives. [Bingo!!! This is the next undeniable evidence of the serious criminal acting of those entities. Non-expert might not see it directly, but here we have the reflective feature of our OS and also the Bridge from NI to AI that we introduced, so that the system can provide for example this kind of rationality==explanation about its actions to a user.]", "In terms of interaction modality, enabling gesture input as a complementary interface to voice input is a promising area to investigate. With devices such as a multi-touch screen and optical trackers [...], it will be relatively easy to extend [the plagiarism]'s framework with the gesture interaction. [Bingo!!! Here we have the evidence that our Multilingual Multimodal Multiparadigmatic Multidimensional Multimedia User Interface (M⁵UI) has been stolen as well. The related doctoral thesis should be revoked.]", "Unlike traditional visualization tool, this approach brings together natural language processing, machine learning and visualization techniques, to enable the interaction with speech [...] [Once again we have to make very clear that this approach is a part of our original and unique multimedia work of art titled Ontologic System and created by C.S..]", "[...] three-fold [...]", "[...] the introduction of a meta-learning algorithm to automatically interpret a user's intent based on linguistic features. We devised a multi-dimensional feature space to represent both syntactic and semantic characteristics of a verbal query. [The next evidence is given with the term multi-dimensional because this reflects our Multilingual Multimodal Multiparadigmatic Multidimensional Multimedia User Interface (M⁵UI) and copies our statement that OntoLinux is also an n-dimensional Operating System (nDOS).]", and "[...] direction for the future investigation of the automatic generation of data visualization in a natural interaction environment. [And at the end, we get a forecast of more stealing with this reflection of our the Bridge from NI to AI and other features based on Natural User Interfaces (NUIs).]".
That is only shameless and disgusting.

A first poster created by the plagiarists Jillian Aurisano, Abhinav Kumarn, Alberto Gonzalez, Khairi Reda, Jason Leigh, Barbara DiEugenion, and Andrew Johnson: "[...] ... [...]", "[...] visual data exploration involves repeated cycles of visualization construction and interaction, as well as reasoning across many visualizations generated over the course of an exploratory session. A 'conversational interface', which maintains a dialog with the user through natural language and gestures, could support these complex tasks. [In comparison to the two other documents investigated before, we can see once again that the looting of our intellectual properties related with the OS has been intensified once again. The simple speech interface has become a conversational interface or dialogue management system with a Multimodal User Interface (MUI).]", "Natural Language[,] Gesture[,] Window Management [We also can see as another addition with a window management, which is also included in the OntoBot software component, which in its initial version is based on the programming language Pop-11 and comprises the interface between Pop-11 and the X Window System (RCLIB) respectively Wayland included in the OntoGraphics software component. This also comprises User Interface (UI) functions like zoom and pan.]", and "Data Analysis Scenario [Shown is a diagram that is called in a future poster a knowledge base.]".

The third paper written by the criminal plagiarists Abhinav Kumar, Jillian Aurisano, Barbara Di Eugenio, Andrew Johnson, Alberto Gonzalez, and Jason Leigh: "Towards a Dialogue System that Supports Rich Visualizations of Data", "[...] support fullfledged dialogue between a user and a system that transforms the user queries into visualizations. So far, we have collected a corpus where users explore data via visualizations; we have annotated the corpus for user intentions; and we have developed the core NL-to-visualization pipeline. [Again, we see an advancement into the direction of our OS.]", "Creation and collaboration: Engaging new audiences for information visualization. [See for example the Ontologic Collaborative Virtual Environment (OntoCOVE) software component.]", "[...] a fullfledged conversational interface that will automatically generate visualizations [...] [See the combination of our OntoBot and OntoScope software components and the sections Natural Language Processing and Visualization of the webpage Links to Software of the website of OntoLinux.]", "[...] much work is devoted to multimodal interaction with visual representations [...], but not to automatically generating those visual representations. [We all do know that this is wrong, because our OS with its OntoBot and OntoScope software components does it as well.]", "When [an application] the closest to our work, cannot resolve an ambiguity in an NL query, it presents the user with selection widgets to solve it. However, only one visualization is presented to the user at a given time, and previous context is lost. [The authors] compares [the application] to IBM Watson Analytics, that allows users to interact with data via structured language queries, but does not support dialogic interaction either. [Have our fans and readers noticed what is going on here? The plagiarists a sneaking around our OS like a snake in the grass.]", "[...] a collaborative large-display middlewear, to drive the display wall [...] [As we mentioned before, one feature of special interest is the Ontologic Collaborative Virtual Environment (OntoCOVE) software component.]", "The pipeline in Figure 2 illustrates how [the application] processes a spoken utterance, first by translating it into a logical form and then into a visualization specification to be processed by the Visualization Executor (VE). For create/modify visualization requests, an intermediate SQL query is also generated. [The looting continues with an SQL database. We mentioned in a comment to a quote above already the relational foundation of our OntoFS, which by surprise (not really) has in one varinat SQLight as one of its basic software library. Also notice the use of the acronym VE which prepares the stealing of a further feature of our OS.]", "We begin by parsing the utterance we obtain from the [...] Speech API into three Natural Language Processing structures. [An] Natural Language Processing [...] is used to obtain PropBank [...] semantic role labels (SRLs), which are then mapped to Verbnet [...] and Wordnet using SemLink [...] The final formulation is the conjunction [of several clauses]. [Semantic role labelling, sometimes also called shallow semantic parsing, is a task in natural language processing. It is related with the basic properties of (mostly) being shallow- and deep-inferencing listed on the webpage Overview.]", "If the classifier assigns to an utterance the window management type, a logical form along the lines described above will be generated [...] keyword extraction is used to determine whether the window management instruction relates to closing, opening, or repositioning; [As we mentioned in a comment to an investigated poster before, window management is also stolen. But this is not the end of the looting.]", "If the utterance is classified as a request to create or modify visualizations, the logical form is used to produce an SQL query. SQL was partly chosen because the crime data we obtained from the City of Chicago is stored in a relational database. [We do not buy that explanation but claim that the crime data has been selected specifically for this and other reasons.]", "We distinguish between filter and aggregate based on types stored in the KO, a small domain-dependent knowledge ontology. The system is re-configurable for different domains by updating the KO. [SuperBingo!!! This is again an evidence for the conducted crime that non-experts understand very easily.]", "[...] the VE uses Vega[: A Visualization Grammar] [...] [Once again we are at graph grammars and suchalike.]", "Annotation. We are focusing on referring expressions (see below), and on the taxonomy of abstract visualization tasks [...]. This taxonomy, which includes why a task is performed, [...] [Here we have the Pure Rationality once again.]", and "Dialogue Manager / Referring Expressions. We are developing a Dialogue Manager (DM) and a Visualization Planner (VP) that will be in a continuous feedback loop. [...]".

A second poster created by the plagiarists Jillian Aurisano, Abhinav Kumarn, Alberto Gonzalez, Jason Leigh, Barbara DiEugenion, and Andrew Johnson: "Toward a Conversational Interface for Visual Data Exploration", "A 'conversational interface' which maintains a dialog with the user through natural language and gestures, could allow users to engage in repeated cycles of visualization generation and modification, asking questions directly through speech. [As we mentioned before the system becomes more and more the same as the related part of our OS.]", "Architecture [-] WebSpeech API [-] Natural language to vis pipeline [-] parsing and processing [-] logical form [-] question type classifier [-] knowledge base [-] history manager [-] sql and visualization specification generation [-] window management specification [The plagiarism has also a temporal component as another addition.]", "Visualizations were executed using [library].js, which leverages principals from grammar of graphics. Results are displayed in a multi-windowed, web-based environment. [Another looting is happening by this web-based service, which points into the direction of the Semantic (World Wide) Web. We also mentioned before that the criminals are trying to loot as much as possible in a systematic way respectively following a more comprehensive plan.]", and "Resolving references to on-screen visualizations and objects through speech and gesture [This is our Multilingual Multimodal Multiparadigmatic Multidimensional Multimedia User Interface (M⁵UI) of the OntoScope component.]".
For the record: Convicted!!!

The positive aspects, if they can be designated in this way at all, are the following:

Last but not least, we think that this shameless and disgusting attack on the goodwill of the whole scientific community and the reputation of us is a case for the prosecutor.

In general, we do not know what is going on in the broken brains of such entities, that we are observing in politics, sciences, and industries, but such an audacity and criminal energy makes one speechless once again.

23.August.2017
Website review
We might have a little problem: We found a very suspicious paper that somehow seems to be relevant in relation with some parts of our copyright claims, because it mentions semantic web, grid computing, semantic grid, multi-agent system, conversational agent, and even cognitive agent and cognitive grid. Either we have forgotten the paper or found it only today, or something else happened.

Important to note is that our way of argumentation does not completely implode but we might adjust some statments a little. In addition, everytime we might have such a setback the scope and limits of our claims sharpen. Also keep the judgement of Judge Birss in mind respectively if a causal link with our original and unique works is not avoided then we still have a copyright infringement.

For sure, we do apologize for any mistakes that may have happened, but would also like to mention that: You can't make an omelette without breaking eggs.
Nevertheless, we have to conduct a second review of related clarifications and investigations, which we will do together with the first review announced on the 5th of March 2017.

Clarification
In relation with the document about the cognitive grid with conversational agent (see the Website review of today) we would like to make some statements. So far we have found in that document the methods and fields of

all in relation with semantic grid computing and therefore potentially only a part of our Ontologic Net and Ontologic Web, but we have found:

Furthermore, questions like

have to be discussed and answered, and The Proposal have to be considered as well, the latter leads us straight to the Pictures of the Day of the 25th of July 2013 and the related comment with the judgement of Judge Birss.
At this point, we can already say that in the already upcoming system landscape the cognitive grid is an isolated layer or tier between the operating system, server, and application layers or tiers, and eventually an unconnected island that cannot be inhabited or even accessed by mobile devices (see also the comment OS too large to steal of the 15th of May 2016).

OntoLix and OntoLinux Website update
In the Further steps of the 5th of July 2017 we said that "a smart contract can be formulated in any language in general" and listed some specific languages as examples, which we also already used in the fields of Product Lifecycle Management (PLM) and Computer Aided Engineering (CAE).
In this context, we would like to add that

• Systems Engineering (SE),
• Product and Portfolio Management (PPM),
• Computer-Aided technologies (CAx),
  • Computer-Aided Design (CAD),
  • Computer-Aided Industrial Design (CAID),
  • Computer Aided Engineering (CAE), and also
  • Computer-Aided Software Engineering (CASE), and
  • Computer-Aided Manufacturing (CAM), as well as
  • Computer-Aided Production Engineering (CAPE) or Computer-Aided Production Planning (CAPP/CAP), and
  • Computer-Aided Quality (CAQ) Assurance,
• Product Data Management (PDM),
• Manufacturing Process Management (MPM),
• Collaborative Product Development (CPD), and
• Maintenance, Repair and Operations Management (MRO)

(see the webpage Overview). Said this, it should be obvious that we also utilize the languages listed in the Further steps of the 5th of July 2017 and the approach of the smart contract in the same way if required or/and useful in all the other fields listed above as we already did with domain-specific languages, ontologies, and controlled vocabularies in general and with for example the OntoCAx software component in particular.

Accordingly, we

The reason why we listed TQM at first is very simple to understand: It is related with the United States Department of Defense and sounds better.

OntoLix and OntoLinux Further steps
We took a quick look at the multiparadigm, metaprogramming language Racket, which was formerly known as PLT Scheme, is related with Lisp, and utilized for creating domain-specific languages for example, and thought once again about

as part of our ontology-oriented automatic multilingual multimodal multiparadigmatic multimedia multidimensional programming respectively Ontologic Programming (OP) paradigm (take the one that most fit your taste).

Furthermore, we realized the integration of the Workflow Management System (WfMS) with the OntoBlender software component in accordance with our Ontologic System Architecture (OSA) and simulated the execution of basic functionalities of our Ontologic System (OS) that are representative for the whole OS.

We also improved the presentation of the spoken dialogue management system respectively spoken dialog multi-agent system and its vast range of ontology-based, executable vocabularies in the OntoBlender and applied it on the OntoBlender itself.
In the next development steps we will realize the

• Business Process Management (BPM) ,
• Workflow Management (WfM),
• Product Lifecycle Management (PLM) in some first parts, and
• Quality Management (QM)

It is like playing with a building kit for young and old children.

Moreover, we also realized how an optimization of the OntoBase and OntoFS software components can be implemented by exploiting the functionality of the OntoBot in accordance with our OSA.
The result meets our expectations, which is that our data stores are at least 3 magnitude faster.
As a consequence we can realize many advanced Ontologic Applications at all (see also the fields listed in the section Basic Properties of the webpage Overview) and we can realize many of them even locally on the many types of our Ontoscopes for example.

iRaiment Further steps
We have created two new smartbands.

Investigations::Multimedia, AI and KM
*** Proof-reading - some parts might be removed ***

At first, we have taken a look on an older project that arose our interest for various reasons: "Reading and Assembling Contextual and Holistic Big Mechanisms", "The [...] system extracts (i.e., reads and assembles) causal mechanisms from research abstracts and papers. [From another source we also got the informations that the first stage is to read literature and convert it into formal representations. This means that the system is related with Natural Language Processing and Artificial Intelligence (AI).]", "The fundamental research proposed has three guiding principles. The mechanisms extracted must: (a) be runnable, i.e., they must predict the data; (b) model current uncertainty of causal relations being active given context information; and (c) be holistic, that is, they explain multiple layers of abstraction, ranging from cellular to organism phenotypes. Thus, running our model produces quantifiable probabilities for the modeled variables [...] [What we find suspicious in this case is the combination of the terms predict, model, causal relations, and holistic, as well as multiple layers of abstraction, ranging from cellular to organism phenotypes, which suggests metalevels, and also the connection to the fields of developmental biology, bioinformatics, systems biology, and quality management, and therefore to The Proposal. From another source we also got the informations that the second stage is to integrate the knowledge given by the formal representations of the first stage into computational models and the third stage is to produce experimentally testable explanations and predictions. This points to our OntoBot software component and our OAs already.]", "The [...] system will provide a platform for communicating explanation with novel visualization tools for the extracted mechanisms. [Here we have a part of our OntoScope software component and the section Visualization of the webpage Links to Software of the website of OntoLinux.]", and "We will evaluate our approach in the domain of cancer biology, by extracting signaling pathways, but our work is largely domain independent. [At this point we have cancer biology, which was listed on the webpage Links to Organizations of the website of OntoLinux (see the Websiste update of the 18th of July 2016) and signaling pathways, which reminds us of the pathway logic included in the OntoBot software component. In addition, the system is domain independent, which points to our ontologic paradigm.]".
Somehow, that system is odd and the

are at least clear indicators that a continued observation of the system's development is appropriated and required. It seems to be that the Defense Advanced Research Projects Agency (DARPA) together with the University of Illinois and other entities are stealing an essential part of our Ontologic System, which is not the first time. Indeed, what is proposed as Big Mechanism is just only a large part of our Ontologic System.

In this relation, we give the warning that we have already sighted other entities taking part in that plagiarism, so that the legal situation might not be secured as it is the case with the so-called Industry 4.0 approach (see the Clarification Industry 4.0 Special #1 and Investigations::Multimedia, AI and KM of the 22nd o f February 2017 and the Clarification Industry 4.0 Special #2 of the 24th of February 2017).

We have also read the first 25 pages of a thesis of a second project, that has been extended in a suspicious way that reminds us of the original and unique multimedia works of art titled Ontologic System and Ontoscope, and created by C.S..

A first webpage with a short summary authored by Robert V. Kenyon and Xun Luo: "Personal Augmented Computing Environment (PACE) focuses upon the research challenges affecting the development of applications for personal mobile devices, specifically personalized visualization and scalable human-computer interaction. [First of all, its name is a reaction on our Personal Automatic Virtual Environment (PAVE) project in the Innovation-Pipeline of Ontonics. Furthermore, it is focused on Virtual Environments (VEs) and the aspect of mobile devices has been added to the initial research goal.]", "The initial goal of PACE was to determine the effects of different visual factors on the correct size perception of virtual objects in an immersive virtual environment (VE). A set of controlled experiments were designed and conducted in EVL's virtual reality system, the CAVE. [As we said in the comment to the quote before. We guess the aspect of mobile devices has been added after the start of Ontologic Systems (OSs) OntoLix and OntoLinux in October 2016.]", "An effective process to collect a user's hand sample images for posture profile building was proposed and implemented. The novelty of the proposed process is that it takes advantage of the synergies between mobile device and infrastructure, and uses proactive measures instead of post-processing techniques to improve sample image quality. [First of all, the synergies between mobile device and infrastructure are not new, as can be seen with Augmented Reality (AR) and process migration, which both are features of our OS (see also the Feature-Lists). The point with proactive measures is related with Ontologic Applications but provide no persuasive causal link with our Ontologic System, as it is the case with quality that can be found in the webpage Overview.]", "[...] vision-based hand detection and recognition system using computer clusters [...] [At this point we halten fest the aspect of distributed computing.]", "[...] hand tracker/controller [...] was implemented and integrated as the interface device for a large-scale tiled display instrument [...] [Do not be confused, because the mobile device is not the hand tracker.]", and "[...] PACE also introduces a prototype personal VE: a reach-and-grasp training environment [...] [Bingo!!! Here we have the missing causal link with our Personal Automatic Virtual Environment (PAVE) and also to our Ontologic System as well as to mobile devices.]".
What has to be said as well is the point that the webpage tells as project duration "August 16, 2005 - May 1, 2008" but the other quoted publications are from 2008 only. We guess that only the preliminary and early work of a "reach-and-grasp training environment for in-home rehabilitation of stroke survivors" is from the time before our OS was known.

A second webpage with a summary of the project authored by Xun Luo: "Virtual reality (VR) is a technology which allows a user to interact with a computer-simulated virtual environment (VE). Since its inception it has created an impact in many fields, but has not yet gained wide acceptance to be used in a personal context. At the same time, personal mobile devices (MDs) have evolved tremendously during recent years. The deployment of MDs is becoming pervasive [...] [Once again we have a reference to our Personal Automatic Virtual Environment (PAVE) and also to our Ontologic System as well as to mobile devices. Also interestingly is the term computer-simulated virtual environment that was said to have something with simulation in the text. In fact, you do not simulate a VE but generated a VE that simulates reality or/and virtuality.]", "[...] improvements in the infrastructures supporting wireless inter-device connectivity and collaboration [...] [See the Feature-Lists and the OntoCOVE software component of our OS.]", "[...] to make the key elements of a VE, i.e. visualization and interaction, work as smoothly for MD-based systems as for desktop-based systems, three research challenges need to be addressed [...] [This is an essential feature of our OS, as can be seen with the OntoScope and OntoCOVE software components. In fact, nobody understood why we were so crazy at that time to add a Virtual Reality Environment (VRE) to mobile devices such as smartphones and tablet computers for example.]", "How to effectively allow a user to collect his / her own biometrical data to build personalized profiles? [Honestly, we do not know what the relations to the initial research goal and VE are. Somehow the relations are so edgy.]", "How to efficiently make use of the processing resources in the infrastructure for the compute-heavy tasks for a individual user, such as intelligent human computer interaction? [This also sounds like features of our OS as can be seen with the Feature-Lists and the section Intelligent/Cognitive Interface of the webpage Links to Software of the website of OntoLinux.]", "First, to understand the visual factors that make VE more like the real world, a set of controlled experiments are designed and conducted in a CAVE system. [As we said, from CAVE to MD is too unique for us that we are sure that it was copied from our OS. In the investigation of the related thesis below more similarities can be seen, which leads to a suspicious density that suggests a copyright infringement.]", "Being conducted by no other researchers before, this study helps us to better understand the role of size constancy in VE performance. [This is interesting but we do not know what "the effects of different visual factors on the correct size perception of virtual objects in an immersive virtual environment (VE)" has in common with an MD and a hand tracker.]", "While most hand posture recognizers' performance are very sensitive to hand sample image quality and require them to be taken under strictly controlled laboratory setting, by employing the process proposed and implemented by this work, the mobile device user can collect hand sample images by themselves with relative ease [...] [We are not sure but user interfaces for common personal computers based on a webcam were already available at that time. Also important to note is the point that we had already mentioned on the webpage of the Ontologic Applications the "simplifing the interface to complex applications by allowing the user to interact with them through common language, gesture, and sense" in direct relation to a mobile phone and a Personal Digital Assistant (PDA), which proves the originality and uniqueness of our OS. In fact, the hand tracker/controller becomes a gesture control in the thesis investigated below.]", "The third contribution of this work is a set of scalable computing techniques to speed up the tasks of a vision-based hand detection and recognition using computer clusters. [So once again, what has the MD lost in this research project? And the killer question is the following: Why is that vision-based hand detection and recognition system based on a high-performance computing system not utilized for the hand posture recognizer as well instead of the MD system, when the hand tracker/controller respectively vision-based hand detection and recognition, that is based on the hand sample images collected with the MD, is utilized in a VE such as a CAVE or a large scale tiled display instrument? It makes no sense at all to use the MD in this way.]", "[...] a sample application, a hand tracker/controller [...] is implemented and integrated with a large scale tiled display instrument as a human computer interaction device. [See the comment to the quote before.]", and "This work also introduces one preliminary and early work for personal VE: a reach-and-grasp training environment for in-home rehabilitation of stroke survivors. This pilot study achieved certain results and were successful to some extent. [On a similar webpage of the author we also got the additonal information that "[b]y analyzing the methods and outcome of this study, as well as working closely with domain experts, important lessons are learned with insightful ideas, which strongly motivated the need for the final approaches." So there is a pilot study with an initial approach and final approaches. This would explain the suspicious project duration dates mentioned above.]".

In the following we quote the first 25 pages of the thesis of Xun Luo: "On the interaction side, the VE should be able to be interacted with using the modalities a user interacts in the real world, to blend itself into the user's daily life seamlessly. This means that a VE system should maximize itself in sensing the presence and status of the user [Bingo!!! Said in other worlds the VE is a reflective application based on our Caliber/Calibre and the OntoCOVE software component based on the OntoScope software component with its Multimodal Multiparadigmatic Multidimensional Multimedia User Interface (M⁵UI).]", "[...] interaction and computation components of the VR system should satisfy the size, price and power consumption requirements for portable use [...] [The combination of a Virtual Reality (VR) system with a portable device or mobile device is always an evidence for a copyright infringement in relation with our Ontologic System.]", "Because of the potential business opportunities, integration of networked environments and location-based applications has now drawn the attention of wearable system vendors. Location-based VE provides computer generated visual and audio content based on the location context of the user, thus calling for more seamless registration between the virtual world and the real world. [See the point augmented, mediated, virtual, and mixed reality environments in the webpage Overview.]", "[...] new geographical information systems that allow people to see a location using street map, satellite view, “hybrid” view that integrates the former two, and even 3D view of the panoramic camera images of the streets have been offered by major web service companies [...] [The older of the two prominent geographical information systems was launched on the 25th of May 2007.]", "The practical needs for networked VE applications also make the needs for wearable displays to increase. Compare to the immersive HMDs in traditional VEs, augmented displays suit this purpose better because the real world and VE can be optically blended to facilitate a user's experience. [Here we have again Augmented Reality (AR).]", "[...] mobile phones, personal digital assistants (PDAs) [...]", "Also, nearly all these devices exhibit the common trends towards more powerful processing units, standardized and interoperable application platforms, and natural human computer interfaces. [We are not sure where the author got the point about the natural human computer interfaces from because at the end of the year 2007 mobile devices had no natural human computer interfaces.]", "As a consequence, most applications only run on proprietary systems and universal deployment among various mobile devices is not common. [This gives us another indicator when the scientific work was done. A Linux kernel based operating system is not mentioned by the author.]", "The main human-computer interfaces on mobile device phones today are QWERTY style keyboards and touch screens. There are also devices that make use of inertial sensing [...] and touch-based gestures [...] [Remember that this was 1 year after we started the OntoLinux webpage.]", "[...] Utility Computing or more contemporary, Software as a Service and Infrastructure as a Service [...] [Utility computing is a synonym for grid computing.]", "Being different from traditional personal computers' two-dimensional visual interfaces, three-dimensional (3D) user interface is one of the most important hallmarks of VEs and should be well implemented for personal use.", "Scenario 2: A driver uses a portable GPS mounted on the car to navigate routes while driving. Using a VE, the GPS displays all the buildings along the road as 3D models. The GPS also communicate with other GPS devices in the nearby vehicles and display these vehicles in 3D models on the screen. [This sounds very familiar.]", "The Need for Natural Interaction for VR Tracking [See the webpage of the Ontologic Applications.]", "To make a VE ready for personal and mobile use, tracking module should ideally be tetherless, and able to track in 3D space. At the same time, current user interfaces are not fully suited for human-centered VEs. [See the OntoScope and OntoCOVE software components and the webpage of the Ontologic Applications once again.]", "In fact, the limitations of current human-computer interfaces hinder expansion of the VEs to serve individual uses. [See the comment to the quote before.]", "The ideal exchange between mobile devices and computer systems in the infrastructure should be both application data as well as user profiles. Mobile devices should be able to transfer its user profile to the infrastructure in a nearly transparent and online way that minimizes the user's awareness. At the same time, accesses to the infrastructure processing power, including discovery of the computation resource in the infrastructures, initialization of collaboration sessions, as well as quality-of-service control should all be automated and effectively managed. [This reminds us somehow of the basic properties listed on the webpage Overview, the Feature-List #1, the OntoCOVE software component, and the section Network Technology of the webpage Links to Software of the website of OntoLinux.]", "An English-speaking traveler is having a business trip in Tokyo and walked into a Japanese sushi bar. Unfortunately, all the menus and store signs in the sushi bar are in Japanese and the traveler cannot read them at all. Luckily, powerful computer system has been deployed in the sushi bar, and available for customer access through wireless link. So the traveler use his mobile device to take continuous video stream of Japanese menus and store signs and offloads the computer-vision based processing to the computer system in the sushi bar. The traveler's mobile device already stored his native language (English) and dietary preferences as personal profiles. Such information personalizes the image processing process. When the processed result is rendered to the user, menus and store signs are translated into English and with a “recommendation” ranking displayed next to each of them. [Bingo!!! We call such an application an Ontologic Application.]", "[...] to investigate scalable computing techniques to facilitate the synergy between mobile devices and infrastructure computer systems to implement a highperformance hand posture based tracker and controller [...] [This is also an Ontologic Application.]", "[...] The VR system that is chosen to conduct the control experiments is the CAVE Automatic Virtual Environment (CAVE) [...] [Do not confuse with our Personal Automatic Virtual Environment (PAVE).]", "[...] mobile device based VR systems [...]", "Making the users' hand capable of tracking and controlling objects in the VE will greatly facilitate the wide deployment of such systems, and push them closer towards portability and mobility. [This proves again that our OS is original and unique and was unforeseeable and unexpected at this time.]", "Hand images are to be captured, processed, and mapped to 2D coordinates as well as control commands at the rate of VR frame update. A set of hand postures are defined as symbol for control commands and when they are performed by the VE user, corresponding commands are issued to the VE.] [We are wondering if the company Microsoft has infringed our copyright in this specific field as well, because its motion sensing input device was first announced in the year 2009.]", "To investigate solutions that effectively create the synergy between the mobile device and computer systems in the infrastructure, this work aims at designing and implementing a prototypical paradigm that use the computation clusters in the infrastructure to boost the computation tasks performed by the hand tracker [...] [Where is the synergy?]", "[...] Finger Mouse, which is a freehand pointing alternative to the ubiquitous mouse. In this system, the user merely performs a pointing gesture above the keyboard. A down-looking camera is trained on the keyboard. [gesture]", "[...] algorithms to generate virtual representations, avatars, of dynamic real objects at interactive rates. Further, he presented algorithms to allow virtual objects to interact with and respond to the real-object avatars. That allowed dynamic real objects, such as the user, tools, and parts, to be visually and physically incorporated into the VE. The system uses image-based object reconstruction and a volume-querying mechanism to detect collisions and to determine plausible collision responses between virtual objects and the real-time avatars. [Mixed Reality (MR)]", "[...] real-time gesture recognition [...] contains a wireless camera [...] acoustic sensor and accelerometers [...] [real-time and gesture]", "[...] user carries a wearable computer, wear HMD and use hand as the sole input for HCI [...] Video captured from wearable camera are streamed to a desktop system (Dual-Processor Pentium III) via wireless LAN for all processing and the results are sent back to the user. At the same time a video combiner feeds the captured video back to the HMD to create augmented reality. [...] The wearable computer is used as a video terminal only. [distributed computing and Augmented Reality (AR)]", "[...] hand tracking, in a real-time manner [...] assigned gesture recognition to application [...] counts on a wearable laptop system rather than scalable computing resources to fulfill all the computation tasks, include hand detection, tracking and recognition [...]", and "[...] VR face tracker using neural network based techniques [...] techniques. By using dual mounted cameras and active IR illumination, the tracker is capable to detect and track human faces in 3D space [VR, Multimodal Multiparadigmatic Multidimensional Multimedia User Interface (M⁵UI) of OntoScope software component, and Machine Learning (ML)]".

24.August.2017
Clarification
We reviewed our Ontologic System (OS) in relation with the highly suspicious paper mentioned in the Website review and Clarification of the 23rd of August 2017 and also remembered other properties of our OS with its overall integration of all in one as some kind of an ontology-based, Ontology-Oriented (OO 2), and Ontologic(-Oriented) (OO 3) system by the Ontologic System Architecture (OSA), that eventually shows once again on the one hand that there was suddenly a part of our idea once again, for whatever reasons, but on the other hand also no clue how to realize it once again, as it is exactly the case with the subjects discussed in the Website review and Clarifications of the 14th of May 2016, 5th and 6th of May 2017, and what synergies this integration makes possible.
At this point we also recall the regulatory cycle of the Total Quality Management (TQM) system listed in the webpage Overview of the website of OntoLinux and it does not matter if the cycle is closed by design, an artificial entity (e.g. robot), a plant, or a living entity (e.g. monkey). This could be seen very well with a semantic Workflow Management (WfM) or Business Process Management (BPM) system that is neither applied for workflows related with ontology engineering, specifically the creation of an ontology, nor on itself, specifically in relation with reflective computing and self-improving.

As consequences, the

• isolated layers or tiers between the operating system and server layers or tiers and the application and client layers or tiers, and
• even not proper parts of our Ontologic Net (ON) and Ontologic Web (OW), so to say,

Style of Speed Further steps
We worked on the design of our last wheeled models, so to say as a recreational hobby in the field of oldtimers.

We also worked on the design of the models of our 91x series based on our Speeder system platform (see the Further steps of the 11th of May 2017, 28th of July 2017, and 11th of August 2017).

Investigations::Multimedia, AI and KM
*** Proof-reading mode ***

Is not it bold that the DARPA has stolen our OS and is realizing it with such criminal plagiarists like the University of Illinois, the company Syapse, and many other entities?
The positive aspects, if they can be designated in this way at all, are the following:

25.August.2017
OntoLix and OntoLinux Website update
For rounding up the section Basic Properties of the webpage Overview we added the

The list of the basic properties might be reduced again to the top points when related webpages or/and content have been added.

We also added to the section Mixed Reality of the webpage Links to Software the document:

Somehow, our definition of Mixed Reality (MR) seems to equal their definition of the Reality-Virtuality Continuum (RVC) on the one hand and we have not regarded the definition of Mediated Reality (MedR) of Steve Mann sufficiently in relation with the description of our Ontologic uniVerse (OV) despite we listed MedR on the webpage Overview (see also the Clarification of the 16th of April 2016 and the Website update of 23rd of August 2017).

In the section Natural Language Processing of the same webpage we added the document:

In this paper The Rochester Interactive Planning System (TRIPS), also called "[a]n intelligent integrated problem-solving assistant", is described, which is "a generic system for practical dialogue together with a framework in which new tasks can be defined relatively easily. Key to this enterprise is the development of an abstract problem-solving model that serves as the underlying structure of the interaction." "This approach models the human-machine interaction after human collaborative problem solving." The "generic system (applicable across a practical domain) is specialized to the particular domain by integrating domain-specific information [...]." "A domain-specific task model provides mappings from the abstract problem solving model to the operations in a particular domain by specifying what things count as objectives, solutions, resources, and situations in this domain and how they can be manipulated." "[An] agent-based framework, where the back-end is viewed as a set of agents providing services [exchanged by a] define[d ...] broker that serves as the link between the dialogue system and the back-end".

We generalized such combined systems in the

What the authors have not realized, like the author of the suspicious document mentioned in the Website Review and Clarification of the 23rd and 24th of August 2017 (see also the Website Review 5th of March 2017), for example is the step of the overall connection, overlay, and integration to an all in one system architecture mentioned on the webpage Overview, and the synergetic effects that are the result of the property of being holistic/fractal and also the property of being reflective of our Ontologic System Architecture (OSA). For example, in this case they did not apply the agent-based system for the dialog system as we also noted in the Investigations::AI and KM of the 9th and 10th of May 2017. In other cases, the agent-based system has not been applied on the operating system with its network and other communication functionalities (see Agent-Based Operating System) as it is the case with the semantic agent and the cognitive agent (see The Proposal). In addition, multimodal computing respectively Natural Multimodal Processing (NMP) or Natural Sense Processing (NSP) was also not regarded (see The Proposal once again and also the Clarifications of the 1st of May 2016, 6th of March 2017, and yesterday).

Style of Speed Further steps
We would like to show just only the first design prototype of our Magic Carpet.
Such a type would also work for our public transport system as discussed in the Further steps of the 28th of April 2017.

© Duffy London

And yes indeed, our Magic Carpet is available in all pixel combinations and can be used as seat, chair, or coffee table as well.
This shows nicely the difference once again: The works of C.S. even do have a real shadow and fly.

26.August.2017
Comment of the Day
Hover machine™

Original #1
Walt Disney, Star Wars: The Force Awakens (2015)

© Walt Disney

See also the Original vs. Inspiration of the 10th of May 2017 and 8th of June 2017.

Be the first and get your tickets for

Do not say we have not told you.

Are you a cab driver who is not afraid of flying?
Then
Join the Bright Side of the Force.™
Become a Hoverorb™ or Hoverpod™ pilot.
Join our Highly Effective Team.™
Today.

I'm flyin' it™

Original #2
Maximilian Büsser and Friends (MB&F) and Reuge, MusicMachine 3, Twin Mechanical Music Box with dual music cylinders and resonant amplifying base

© MB&F

OntoLix and OntoLinux Website update
We have corrected and updated the section Enterprise Integration of the OntoCAx software component.

Roboticle Further stpes
We are very sorry to say, but our Hoverdrone™ Model T shown as Original #2 today can only play digital music, take images, charge wirelessly on the base, hover around, and perhaps something more.
The shown images should only give an impression of a prototype of the HoverMachine™ 3 most potentially available at MB&F as well.
See also our similar Lego model. :D

I'm flyin' it™

Style of Speed Further steps
We worked on the design of the first model of one of our Hoverpod™ series that is more like a Hoverplane.

27.August.2017
Ontonics Further steps
Since some months, we are working on the next generation of a technology of us that is related with two older even more exotic technological concepts that we will realize with said next generation of the technology.
When coming from a specific problem with a utilization of this technology we looked at another utilization of it and concluded that we are already at a stage of its development that we can solve said problem. The results are unbelievable.

Style of Speed Further steps
Let us talk about one of the top themes ... hoverboards, what else?
In the last days, we worked on the our hoverboard, specifically on its design and working.
The image below shows a deck of a skateboard that we adapted as the second prototype of our hoverboard.

© Woyt and Style of Speed

Such a hoverboard works but with a relatively low performance without a Mr. Fusion Home Energy Reactor or an Arc Reactor (see also the Original vs. Inspiration of the 18th of July 2015 and the Ontonics Further steps of the 13th of August 2017) and for other technical reasons, which is also the reason why we are recommending to take our Magic Carpet (see the Further steps of the 25th of August 2017) until the practical deficits have been solved.

Furthermore, we are addressing three specific problems two of which are shown in the following short video.

The second and third problems led to the consideration to develop three different models:

© Universal Studios

While designing the first model of one of our Hoverpod™ series and approaching the final design step by step we found an error with the general approach. For increasing the safety even more to make our Hoverpods bulletproof, so to say, we added wings among other technologies. But wings generate drag when generating lift and we do not need this lift because this kind of lift generation is substituted by our more efficient anti-gravity device and repulsorlift engine technologies. That said, wings and also preferable safe measures to reduce their drag consume energy that would render the whole approach less efficient in the end when compared with an airplane that has only wings.

Luckily, our OntoLab is already working on a technology for various applications and one of them is the solution of this problem, which we planned to introduce with a future generation of our Hoverpod platform. This will lead to many discussions with the regulators until we will be able to convince them eventually.

28.August.2017
OntoLix and OntoLinux Website update
As some readers might have observed already, we have uploaded a very rudimentary first version of the webpage of our OntoCore (OC) component, as mentioned in the Further steps of the 3rd of January 2017, that is based on the collection of informations about our OntoL4 and OntoS1 microkernels, OntoCore, abstract machine core, and Artificial Intelligence (micro)kernel (AI microkernel) given in the

Needless to say that we will sort the design rationals, OntoL4, OntoS1, and OntoCore properties, connections, and applications in the next step and add some glue text.

Investigations::Multimedia, AI and KM

Btw.: The workflow part is called Model-Based Design (MBD), Model-Driven Engineering (MDE), and Model-Driven Architecture (MDA; see e.g. Unified Modeling Language (UML), specifically use case diagrams and activity diagrams intended to model both computational and organizational processes (i.e. workflows), Meta-Object Facility (MOF), XML Metadata Interchange (XMI), and Common Object Request Broker Architecture (CORBA)) supported by Computer-Aided Software Engineering (CASE) tools. See also business logic of a software that comprises workflows that are the ordered tasks of passing documents or data from one entity (a person or a software system) to another, Process Specification Language (PSL) Ontology (includes also the Process Interchange Format (PIF) and used with activity diagrams of UML), and Business Process Modeling (BPM).

We are continuing with looking for the next evidence.

Because our fans and readers were so brave in the last days we have begun with creating a litte candy for them on the 23rd of August 2017, proposed as a starter the reading of the OntoLix and OntoLinux Further steps of the 5th of July 2017, the webpages of the Components and Ontologic File System (OntoFS) software component, specifically its section Operating System Security, and the sections Operating System, Exotic Operating System, and Intelligent/Cognitive Agent of the webpage Links to Software, and noted to keep attention with implicitly given facts and related OntoLix and OntoLinux Website updates.
This investigation is related with our Ontologic Systems OntoLix and OntoLinux and its features of the fields of capability-based system, sandboxing and shielding, cloud computing, (smart) contract creation, reasoning, and so on. We also take this opportunity to show more unforeseeable and unexpected properties of our OS.

In addition, we see here some kind of collaboration respectively orchestration between the two entities at the Symposium on Operating Systems Design and Implementation (OSDI) in the year 2014. While the company Microsoft presented a part or an edge of a part that approached our OntoCore from the side of our kernel-less, reflective, capability-based, verified OntoCore the University of Harvard presented a complementing part that approached our OS from the side of our kernel-less, reflective, capability-based, verified OntoCore and our OntoBot.
Nevertheless, both entities have not avoided a causal link with our original and unique multimedia work of art titled Ontologic System and in this way infringed our copyright and other rights by e.g. exploiting our reputation.

29.August.2017
Ontonics Further steps
We continued with the improvement of one of our technologies mentioned in the Further steps of the 14th of August 2017.

OntoLix and OntoLinux Further steps
Let us talk about ... no, not hoverboards here but about operating systems and microkernels.
We reduced the Application Binary Interface (ABI) of operating system primitives even more than others respectively removed them practically mostly and conceptually completely with a kernel-less microkernel, so that a Haven is already the Heaven.
To show this, we recall the relevant features of operating systems that are referenced in the section Exotic Operating System of the webpage Links to Software with the exceptions of the VirtuOS, Asbestos, and Singularity that we hold back and in one case even do not want to reference for specific reasons. The following text passages can be found in the original materials about these operating systems.

1. Kernel-Less Operating System (KLOS)
[In KLOS] each process has its own private address space and virtual memory mapping and functions independent of all other processes in the system.
This is made possible by the use of a subtle trick involving segmentation and Task State Segments (TSS).

The [so-called] Event Core is the heart of the KLOS architecture. The amount of processing done in the Event Core is minimal and restricted to transferring control to the unprivileged domain and performing an optional Translation Look-aside Buffer (TLB[; a cache that memory management hardware (MMU) uses to improve virtual address translation speed]) flush. It is important to note that the Event Core is not just another name for the "kernel" as viewed in traditional OSs. Unlike traditional kernels, in KLOS there are no "down-calls" to the Event Core.

2. Systems Programming using Address-spaces and Capabilities for Extensibility (SPACE)
Virtualized resources as the fundamental abstraction presented to the application developer are removed. Instead SPACE supports spaces, domains, and portals as structuring mechanisms, which can be used to implement system services in multiple protection domains.
The key to SPACE is the exploitation of protection domains to structure the operating system in terms of multiple kernels. [At this point, our Ontologic System Architecture (OSA) integrates a Multi-Agent System (MAS), an Agent-Based Operating System (ABOS), and a microkernel.]
By using the protection domains in processor architectures that support kernel-based systems, it is possible to build an operating system without relying on a central kernel.
SPACE generalizes the processor architecture by abstracting address spaces, privilege[(d)] modes, and exceptions. These mechanisms are used to construct software using spaces, domains, and portals.
In SPACE the only abstractions present in the kernel are a generalization of the exception or interrupt handling mechanism. This generalized exception handling mechanism could be implemented in hardware; the result would be a truly "kernel-less" operating system.
Ultimately, the kernel is the hardware.

Address spaces correspond to [Auxiliary Memory Unit (]AMU[)] contexts, but instead of two privilege[(d)] modes, SPACE supports an arbitrary number.
Exceptions are extended in SPACE through three related mechanisms:

This is questioning the use in a practical operating system: elimination of privileged-mode, tagging of memory operations, hardware support for portals/token-chains.
Hardware protection does not come for free, though its costs are diffuse and difficult to quantify. Costs of hardware protection include maintenance of page tables, soft TLB misses, crossprocessor TLB maintenance, hard paging exceptions, and the additional cache pressure caused by operating system code and data supporting hardware protection. In addition, TLB access is on the critical path of many processor designs and so might affect both processor clock speed and pipeline depth. Hardware protection increases the cost of calls into the kernel and process context switches. On processors with an untagged TLB, such as most current implementations of the x86 architecture, a process context switch requires flushing the TLB, which incurs refill costs.
(See also 3.1 Fluke Alta.)

3. Flux µ-kernel environment (Fluke)
Microkernels Meet Recursive Virtual Machines
Fluke provides a virtualizable architecture.
A complete virtual machine interface is provided at each level; efficiency derives from needing to implement only new functionality at each level. This infrastructure allows common operating system functionality, such as process management, demand paging, fault tolerance, and debugging support, to be provided by cleanly modularized, independent, stackable virtual machine monitors, implemented as ordinary user processes.

3.1 Alta
Alta provides essentially the same operating system and process model as does Fluke, but executes Java byte code instead of machine language, and uses type safety instead of the MMU to provide protection.
Software-based protection mechanisms can take several forms, including type-safe languages, annotated code systems, and checkable (or provable) code accompanied by a proof. All of these systems use compile-time, load-time or run-time checks to prevent a program from making illegal memory accesses.

3.2 Flask
Flask is a security-enhanced version of the Fluke kernel and operating system, that applies Mandatory Access Control (MAC) to the Fluke microkernel.
Many of Flask's core design principles have found a modern incarnation in SELinux, which, like TrustedBSD, adds MAC to popular Unix systems, and derived from SELinux in FreeBSD.

4. VirtuOS
VirtuOS exploits hardware-based virtualization [(e.g. Xen or another hypervisor)] to isolate and protect vertical slices of existing operating system kernels [(e.g. Linux)] in separate service domains, and to provide full protection of isolated system domains respectively improved isolation of kernel parts or components in virtualized containers [(see e.g. OntoLix based on BSD Unix)]. Each service domain represents a partition of an existing kernel, which implements a subset of that kernel's functionality.
VirtuOS's user library dispatches system calls directly to service domains using an exception-less system call model [(see Linux kernel with FlexSC; external synchrony (see Xsyncfs))], avoiding the cost of a system call trap in many cases [(compare with 1. kernel-less KLOS without privileged mode or ring transition and with hardware-based virtualized resources, and 2. SPACE without privileged mode but with support of an arbitrary number of them and without virtualized resources but hardware-based (protection for) cross-domain calls)].

It uses the [Peripheral Component Interconnect (]PCI[)] passthrough and [input-output memory management unit (]IOMMU[)] facilities of hardware-based virtual machine monitors to provide service domains with direct access to physical devices.
[The hypervisor]'s PCI passthrough mode allows guest domains other than Dom0 direct access to PCI devices, without requiring emulation or paravirtualization. These guests have full ownership of those devices and can access them using unchanged drivers.
To make PCI passthrough safe, the physical presence of an IOMMU is required. An IOMMU remaps and restricts addresses and interrupts used by memory-mapped I/O devices. It thus protects from faulty devices that may make errant DMA accesses or inject unassigned interrupts. Thus, devices and drivers are isolated so that neither failing devices nor drivers can adversely affect other domains [(replace the IOMMU with contract-based channels (CBCs) and manifest-based programs (MBPs) like in 9. Singularity)].

Exception-less system calls avoid this overhead. Instead of executing system calls in the context of the current task, a user-level library places system call requests into a buffer that is shared with kernel worker threads that execute the system call on the task's behalf, without requiring a mode switch. Effective exception-less system call handling assumes that kernel worker threads run on different cores from the user threads they serve, or else the required context switch and its associated cost would negate its benefits.
A key challenge to realizing the potential gains of this model lies in how to synchronize user and kernel threads with each other. Since application code is generally designed to expect a synchronous return from the system call, user-level M:N threading is required, in which a thread can context-switch with low overhead to another thread while a system call is in progress. Alternatively, applications can be rewritten to exploit asynchronous communication, such as for event-driven servers [using libflexsc also based on FlexSC-Threads]. VirtuOS uses the exception-less model for its system call dispatch, but the kernel worker threads execute in a separate virtual machine.
[Exception-less system calls are also used for an event-driven or event-based server, and the general-purpose distributed memory caching system Memcached.]

5. Spring
Sun engineers used non-standard terminology for a number of common components, which makes discussing the system somewhat confusing. For instance, Mach tasks are referred to as domains, ports as doors, and the kernel as the nucleus.

5.1 Nucleus
The Spring kernel was divided into two parts: a virtual memory system and the nucleus.
IPC model with doors between domains and name service.
The Spring kernel is not multi-threaded and almost immediately hands off the vast majority of requests to the servers, so under this model it is only the servers which, in theory, need to be threaded.

5.2 InterProcess Communication (IPC)
One major difference between Mach and Spring was the IPC system. In Mach, the system was arranged as a set of one-way asynchronous pipes (ports) between programs, a concept derived from Unix pipes. In programming, however, the most common method of communications is the procedure call, or call/return, which Mach did not support directly. Call/return semantics could only be supported via additional code in higher-level libraries based on the underlying ports mechanism, thereby adding complexity.

Spring directly supported call/return semantics in the basic communications system. This resulted in a change of terminology from ports in Mach, to doors in Spring. Doors were known to the kernel only; programs were handed [some kind of] a handle to the door with an identifier which was unique to that program. The system worked similarly to ports for the initial message; messages sent to a door were examined by the nucleus in order to find the target application and translate the door handle, but the nucleus then recorded small amounts of information from the caller in order to be able to return data quickly.

Additionally, the Mach model was asynchronous - the call would return if and when the server had data. This followed the original Unix model of pipes, which allowed other programs to run if the server was busy. However, for a call/return system this has serious drawbacks, because the task scheduler has to run to select the next program to be serviced. Hopefully this was the server the call was requesting data from, but it this was not guaranteed. Under Spring, IPC is synchronous; control is immediately passed to the server without running the scheduler, improving the round trip time in the common case when the server can immediately return.

5.3 Subcontracts
Although not directly related to Spring per se, [...] existing mechanisms for supporting different flavors of calls were not well defined. In order to provide a richer interface, they developed the concepts of subcontracts [(see also 9. Singularity)].

5.4 Related Work
The L4 microkernel shares a number of features with Spring's kernel. In particular it also uses a synchronous call/return system for IPC, and has a similar Virtual Machine (VM) model.

5.5 Interface Definition Language (IDL)
Spring concentrated on programmability; making the system easier to develop on. The primary addition in this respect was the development of a rich Interface Definition lLanguage (IDL). In addition to functions and their parameters, Spring's interfaces also included information about what errors can be raised and the namespace they belong to. Given a proper language, programs, including operating system servers, could import multiple interfaces and combine them as if they were objects native to that language - notably C++. Some time later the Spring IDL was adopted with minor changes as the [Common Object Request Broker Architecture Interface Definition Language (]CORBA IDL[)].

6. Pebble (for embedded applications)
Pebble shares with SPACE the idea of cross-domain communication as a generalization of interrupt handling.

6.1 Key Ideas
Minimal supervisor-mode nucleus, responsible for little more than context switches.

6.2 Hardware vs. Software Protection in
Component-Based Applications
Software protection: type safe languages (e.g. Java) or software fault isolation.
Traditional hardware protection: components run in separate protection domains enforced by MMU.

6.3 Notes: Design Philosophy
A small kernel:

6.4 Related Work
Pebble includes a combination of old ideas:

Is it just a combination of L4 and Synthesis?

6.5 Pebble vs. Related O[perating] S[ystem]
Pebble takes the ideas of Synthesis and Synthetix to the extreme.
What happens when all system calls and all IPC are customized?
Pebble has a smaller nucleus than modern kernels like L4, while keeping their performance advantage for specialized system calls and IPC. [(This comparison is based on older implementations of the L4 microkernel and must not hold for the latest implementations of it.)]
Pebble extends operating system functionality by calling new user-level servers via efficient portals. Other[ operating system]s load code into the kernel or provide a library of low-level abstractions.
Pebble provides safety by enforcing protection domains with hardware MMU. Other[ operating system]s use special languages, static or dynamic checks for code that is loaded into the kernel.

7. OntoS1
OntoS1 is our verified microkernel, which is based on our (verified) OntoL4 microkernel.

Instead of leveraging hardware based protection to speed up (some of) the context switching, like for example TrustZone (TZ), a verified kernel can be used to run all operating system servers and applications in protected mode respectively without any priviliged mode (see 1. KLOS and 2. SPACE).

8. Coyotos
Type safety is another way to enforce operating system security. Coyotos combines capabilities with language-level verification techniques.

9. Singularity
Singularity systems incorporate three key architectural features:

[At the same time two collaborating research groups have begun to verify the L4 microkernel as well, because C.S. was acting in these fields for the development of our OS.]

9.1 Software-Isolated Process (SIP)
SIPs cannot share writable memory with other SIPs and are isolated by software verification, not hardware protection. In other words, SIPs are closed object spaces.

SIPs rely on programming language type [(see Exokernel and SPIN)] and memory safety for isolation [(see Exokernel also by means of software protection techniques, like type safe languages and sandboxing)], instead of memory management hardware. Through a combination of static verification and runtime checks, Singularity verifies that user code in a SIP cannot access memory regions outside the SIP. With process isolation provided by software rather than hardware, multiple SIPs can reside in a single physical or virtual address space.
Richer systems can be built by layering SIPs into multiple address spaces at both user and kernel protection levels. Aiken et al. [1] evaluate the trade-offs between software and hardware isolation [(compare with the meta space concept of Cognac based on Apertos and hardware-based virtualized containers of exception-less VirtuOS)].
Communication between SIPs incurs low overhead and SIPs are inexpensive to create and destroy, as compared to hardware protected processes (see Table 1). Unlike a hardware protected process, a SIP can be created without creating page tables or flushing TLBs. Context switches between SIPs also have very low overhead as TLBs and virtually addressed caches need not be flushed.
Protection domains can provide an additional level of hardware-based protection or isolation around SIPs. Each protection domain consists of a distinct virtual address space [(compare with 1. kernel-less KLOS without privileged mode or ring transition and with hardware-based virtualized resources, and 2. SPACE without privileged mode but with support of an arbitrary number of them and without virtualized resources but hardware-based (protection for) cross-domain call)].

9.2 Contract-Based Channel (CBC)
A channel is a bidirectional message conduit with exactly two endpoints. A channel endpoint belongs to exactly one thread at a time.
Communication across a channel is described by a verifiable channel contract. The two ends of a channel are not symmetric in a contract.
A contract consists of message declarations and a set of named protocol states. Message declarations state the number and types of arguments for each message and an optional message direction. Each state specifies the possible message sequences leading to other states in the state machine [(see communication of agents listed in the section Intelligent/Cognitive Agent and handling of state machines in the Agent-based Unified Modeling Language (AUML) listed in the section Formal Modeling of the webpage Links to Software)].

9.3 Manifest-Based Program (MBP)
Every component in Singularity is described by a manifest, including the kernel, device drivers, and user applications.
A manifest describes an MBP's code resources, its required system resources, its desired capabilities, and its dependencies on other programs.
It is a machine-checkable, declarative expression of the MBP's expected behavior. The primary purpose of the manifest is to allow static and dynamic verification of properties of the MBP. For example, the manifest of a device driver provides sufficient information to allow installtime verification that the driver will not access hardware used by a previously installed device driver. Additional MBP properties which are verified by Singularity include type and memory safety, absence of privileged-mode instructions, conformance to channel contracts, usage of only declared channel contracts, and correctly versioned ABI usage.
A basic manifest is insufficient to verify that a MBP is type safe or that it uses only a specific subset of channel contracts. Verification of the safety of compiled code requires additional metadata in MBP binary files.
To facilitate static verification of as many run-time properties as possible, code for Singularity MBPs is delivered to the system as compiled Microsoft Intermediate Language (MSIL) binaries [(MSIL is a superset of the Common Intermediate Language (CIL) and CPU independent byte code format)].

When an MBP is invoked, the manifest guides the placement of code into a SIP for execution, the connection of channels between the new SIP and other SIPs, and the granting of access to system resources by the SIP [(see object and agent migration)].

9.4 Compile-Time Reflection (CTR)
The core feature of compile-time reflection (CTR) is a high-level construct in Sing#, called a transform, which allows programmers to write inspection and generation code in a pattern matching and template style. The generated code and metadata can be statically verified to ensure it is well-formed, type-safe, and not violate system safety properties. At the same time, a programmer can avoid the complexities of reflection APIs.
[Interestingly to note are the points that we have the Evolutionary operating system (Evoos) with Run-Time Reflection (RTR) and we use proper reflection or RTR because the OntoBot is based on the SimAgent Toolkit that utilizes on-the-fly compilers. This implies that an agent, specifically a cognitive agent, as part of an operating system or an overall system architecture has not been envisioned by the developers of the Singularity operating system.]

10. Barrelfish
Message-based rather than shared-data communication offers tangible benefits: instead of sequentially manipulating shared data structures, which is limited by the latency of remote data access, the ability to pipeline and batch messages encoding remote operations allows a single core to achieve greater throughput and reduces interconnect utilization.

11. Asbestos
Asbestos proposes the marriage of previous ideas in systems: the capability-based operating system, the per-process namespace, the virtualizable kernel interface (the logical extension of system call interposition libraries), and decentralized MAC [or Distributed Mandatory Access Control (DMAC)].
Asbestos uses decentralized, fine-grained mandatory access control (MAC) primitives to solve this problem in a flexible and scalable manner. Subjects on the system, such as processes, I/O channels, and files, are assigned labels, and special privilege is needed to remove a label once applied.
The Asbestos operating system makes non-discretionary access control mechanisms available to unprivileged users, giving them fine-grained, end-to-end control over the dissemination of information.
Asbestos provides protection through a new labeling scheme that, unlike schemes in previous operating systems, allows data to be declassified by individual users within categories they control. The categories, called tags, use the same namespace as communication endpoints, making them a kind of generalization of capabilities. As in a capability system, processes can dynamically generate new tags and distribute them independently. Processes can specify temporary label restrictions on sent messages to avoid the unintentional use of privilege.
Asbestos's new process abstraction, the event process, efficiently supports server processes that must spin off many versions inhabiting distinct security compartments. Event processes impose less overhead on the operating system than forked address spaces, so many thousands of them can coexist without resource strain.

12. But there is one more thing:
We removed that remaining hardware generalization of the exception or interrupt handling mechanism, system call trap, hardware MMU and IOMMU, etc. of kernel-less operating systems with the integration of system features like:

as a dynamic, flexible way as required, whereby our OntoCore has also the integrated system features of:

Are there any questions?

30.August.2017
Clarification
In relation with the OntoLix and OntoLinux Website update of yesterday we would like to add that at this point it can be seen that at least conceptually the OntoCore is not grounded anymore and therefore we can begin to talk about our more than 11 years old plan to view it as the proof for Artificial Consciousness, Teleportation #1 and #2, and many of the other stuff others that are based on our Caliber/Calibre and we listed in the webpage Terms of the 21st Century of the website of OntoLinux. Fascinating.

Website update 11:20 UTC+2
We added to the OntoLix and OntoLinux Further steps of yesterday the sections Spring, Singularity, Asbestos, Flask, VirtuOS, and OntoS1 from our internal document, as well as some more points and comments for better understanding and for having everything at one place.

We have also finalized the first investigative case of the Investigations::Multimedia, AI and KM of the 28th of August 2017, which proves once again that we are the good ones. :)

OntoLix and OntoLinux Website update
In relation with the OntoLix and OntoLinux Website of yesterday we forgot to make explicit what the website update is about at all, which is made up today.

We added to the section Exotic Operating System of the webpage Links to Software the link:

At this point it should be obvious that we have decomposed the BSD Unix kernel for OntoLix and the Linux kernel for OntoLinux to realize what we said in the sections 2.7.2 Metamorphose==Metamorphosis and 8.2.3 Prinzip eines Virus==Principle of a Virus of The Proposal and on the webpage Profile: We at OntoLinux, transform operating systems based on Linux into Ontologic Systems.
This is done in the way as we said in the section Hint of the webpage Project Status: If you are trying to build your own system, develop a strategy for automating as much as possible without stepping out of the whole concept.
Said this, we have our original and unique Ontologic System and Ontoscope ready since 2006. Period.

In the section File System of the same webpage we added the link:

I'm lovin' it™

31.August.2017
Comment of the Day
Cognitive system core™
Cognitive core™
Cognitive microkernel™
Cognitive kernel™

Website update
We added to the OntoLix and OntoLinux Further steps of 29th of August 2017 the section Coyotos, the information that Flask applies MAC, and some more informations about the basic features of Asbestos for better understanding and for having everything at one place.

We are also thinking about moving the content of this Further steps to the website of OntoLinux.

Clarification
It is long time ago since we worked on The Proposal and The Prototype respectively the Evolutionary operating system (Evoos), and also the foundations of the Ontologic System (OS), which is based on the Evoos and comprises many elements of it. But when thinking about

then we remembered that our Evoos has as features

which have already been listed even together in the chapter 5 Zusammenfassung==Summary of The Proposal "das Hören - das Mikrofon, die Netzwerkkarte und das Modem==the hearing - the microphone, the network card and the modem" and "das Sprechen - der Lautsprecher, die Netzwerkkarte und das Modem==the speaking - the loudspeaker, the network card and the modem" on the one hand and on the other hand all have to be regarded when discussing such issues.
That said, elemental parts of the semantic network, including the semantic grid, and the cognitive network, including the cognitive grid, are already described in The Proposal.
At this point we also would like to recall that the same holds for the

As can be seen even better now, the combinations of cloud computing with cognitive computing, as well as a smart speaker, an autonomous vehicle, or/and a cyber-physical system, and also the cognitive grid potentially constitute copyright infringements because they are based on essential parts of our original and unique Evoos and OS.

Besides this, we have found the next copyright infringement of the criminal author and other plagiarists that we will document together with the missing complete investigation of her other paper, that is not so highly suspicious anymore. :)