Abstract: Methods and systems are given to build and enable systems to acquire knowledge from bodies of data in order to become capable of showing sane, rational, and credible behavior or output. Such systems includes software and/or hardware artifacts and/or stationary or mobile machines such as vehicles, robots, transportation systems, and in general systems with intelligent state-navigation capabilities. Aspects of this disclosure are to provide technical frame- works, methods, and systems to build artificially intelligent beings with explainability and interpretability.

Abstract: The present invention discloses methods, systems, and tools to extract the usable knowledge from a body of knowledge and build computer/machine useable data structures stored in one or more non-transitory storage media. The body of knowledge is regarded as a composition of ontological subjects (OSs) of different orders. Using the participation information of the OSs into each other, one or more association strength matrices and/or conditional occurrence probability matrices and/or ontological subject maps are built from which the value significance, information content, and type and strength of the relationship of the partitions (i.e. OSs of different orders) of the composition are calculated and learned. The methods systematically build one or more data structures carrying the actionable knowledge from a body of knowledge and enables one to build knowledgeable and context aware systems and machines for various desired applications.

Abstract: The present invention discloses methods, systems, and tools for evaluating a number of value significance measures of ontological subjects of compositions or networks. The method breaks a composition into its constituent ontological subjects of different orders and builds a participation matrix indicating the participation of ontological subjects of the composition in other ontological subjects, i.e. the partitions, of the composition. Using the participation information of the OSs into each other, an association strength matrix is built from which the value significance measures of the partitions of the composition are calculated. The methods systematically calculate the value significances of the ontological subjects of different orders of the composition. Various systems for implementing the methods and some exemplary applications and services are disclosed.

Abstract: The present invention discloses methods, systems, and tools for knowledge processing and visualizations by building various data structures corresponding to uncovered informational data such as values of association strengths or significance measures and maps of ontological subjects of compositions or one or more content accompanying a request for service by a user. In one embodiment of the invention the method assigns and calculates an ontological subject association strength/value measures and spectrums to each composition or ontological subjects of the composition. The resulting data, spectrums, and the adjacency matrix of the map or visualization are used to evaluate the merits of the compositions in the context of reference universes. It is also used as a research guiding tool for knowledge discovery or automatically generating high value compositions or new or less known knowledge about the ontological subjects of the universe.

Abstract: Methods and systems are given for investigation of compositions of ontological subjects in accordance with various aspects of significance. Accordingly, the present invention provide a unified method and process of investigating the compositions of ontological subjects, modeling an unknown system, and obtaining as much worthwhile information and knowledge as possible about the system or the composition or the body of knowledge along with exemplary services utilizing such investigations. The data structures built and the knowledge acquired by a machine through executing the investigation methods of the present disclosure enables artificial intelligent systems, machines, and agents to perform intelligent tasks and jobs.

Abstract: A system and method is presented for knowledge discovery that incorporate both human and computers to index, process, and communicate and share the knowledge and electronic contents. The disclosure provide methods of evaluating association strength of ontological subjects of collection/s of content or bodies of knowledge and/or an electronic content. The system can use the association strength spectrum of ontological subjects of an electronic content or bodies of knowledge to evaluate, classify, finding relevant content, providing knowledge bearing content related to an electronic content, and assigning a merit-value to electronic content and compositions. It also provides a platform for launching unlimited number of qualified and content reviewed publishing/broadcasting ventures or artificial beings. The system assists individuals for faster and more efficient discovery/creation of new and useful knowledge, and valuable artistic content.

Abstract: A system and method is presented for knowledge discovery that incorporate both human and computers to index, process, and communicate and share the knowledge and electronic contents. The disclosure provide methods of evaluating association strength of ontological subjects of collection/s of content or bodies of knowledge and/or an electronic content. The system can use the association strength spectrum of ontological subjects of an electronic content or bodies of knowledge to evaluate, classify, finding relevant content, providing knowledge bearing content related to an electronic content, and assigning a merit-value to electronic content and compositions. It also provides a platform for launching unlimited number of qualified and content reviewed publishing/broadcasting ventures or artificial beings. The system assists individuals for faster and more efficient discovery/creation of new and useful knowledge, and valuable artistic content.

Abstract: A system and method is presented for knowledge discovery that incorporate both human and computers to index, process, and communicate and share the knowledge and electronic contents. It also provides a platform for launching unlimited number of qualified and content reviewed publishing/broadcasting ventures or artificial beings. The system assists individuals for faster and more efficient discovery/creation of new and useful knowledge, and valuable artistic content. It also provides incentives to the owners of the ventures and a method for rewarding or compensating all contributors.

Abstract: The present invention discloses methods, systems, and tools for evaluating a number of value significance measures of ontological subjects of compositions or networks. The method breaks a composition into its constituent ontological subjects of different orders and builds a participation matrix indicating the participation of ontological subjects of the composition in other ontological subjects, i.e. the partitions, of the composition. Using the participation information of the OSs into each other, an association strength matrix is built from which the value significance measures of the partitions of the composition are calculated. The methods systematically calculate the value significances of the ontological subjects of different orders of the composition. Various systems for implementing the methods and some exemplary applications and services are disclosed.

Abstract: The present invention discloses methods, systems, and tools for evaluating a number of value significance measures of ontological subjects of compositions or networks. The method breaks a composition into its constituent ontological subjects of different orders and builds a participation matrix indicating the participation of ontological subjects of the composition in other ontological subjects, i.e. the partitions, of the composition. Using the participation information of the OSs into each other, an association strength matrix is built from which the value significance measures of the partitions of the composition are calculated. The methods systematically calculate the value significances of the ontological subjects of different orders of the composition. Various systems for implementing the methods and some exemplary applications and services are disclosed.

Abstract: Methods and systems are given for investigation of compositions of ontological subjects in accordance with various aspects of significance. Accordingly, the present invention provide a unified method and process of investigating the compositions of ontological subjects, modeling an unknown system, and obtaining as much worthwhile information and knowledge as possible about the system or the composition or the body of knowledge along with exemplary services utilizing such investigations. The data structures built and the knowledge acquired by a machine through executing the investigation methods of the present disclosure enables artificial intelligent systems, machines, and agents to perform intelligent tasks and jobs.

Abstract: The present invention discloses methods, systems, and tools for knowledge processing and visualizations by building various data structures corresponding to uncovered informational data such as values of association strengths or significance measures and maps of ontological subjects of compositions or one or more content accompanying a request for service by a user. In one embodiment of the invention the method assigns and calculates an ontological subject association strength/value measures and spectrums to each composition or ontological subjects of the composition. The resulting data, spectrums, and the adjacency matrix of the map or visualization are used to evaluate the merits of the compositions in the context of reference universes. It is also used as a research guiding tool for knowledge discovery or automatically generating high value compositions or new or less known knowledge about the ontological subjects of the universe.

Abstract: Methods and systems are given for investigation of compositions of ontological subjects in accordance with various aspects of significance. Accordingly, the present invention provide a unified method and process of investigating the compositions of ontological subjects, modeling an unknown system, and obtaining as much worthwhile information and knowledge as possible about the system or the composition or the body of knowledge along with exemplary services utilizing such investigations.

Abstract: The present invention discloses methods, systems, and tools for knowledge processing by building various data structures corresponding to uncovered informational data such as values of association strengths or significance measures and maps of ontological subjects of compositions or one or more content accompanying a request for service by a user. In one embodiment of the invention the method assigns and calculates an ontological subject association strength/value measures and spectrums to each composition or ontological subject. The resulting data, spectrums, and the adjacency matrix of the map are used to evaluate the merits of the compositions in the context of reference universes. It is also used as a research guiding tool for knowledge discovery or automatically generating high value compositions or new or less known knowledge about the ontological subjects of the universe.

Abstract: The present invention discloses methods, systems, and tools for unified semantic scoring of compositions of ontological subjects. The method breaks a composition into a plurality of partitions as well as its constituent ontological subjects of different orders and builds a participation matrix indicating the participation of ontological subjects of the composition in other ontological subjects, i.e. the partitions, of the composition. The method, systematically, enables the calculation of the semantic scores/ranks, value significances of ontological subjects of different orders and/or calculating and obtaining adjacency data of their visual graphical representations, and/or the association strengths between the ontological subjects of different orders of the composition. Various systems for implementing the method and numerous applications and services are disclosed.

Abstract: The present invention discloses methods, systems, and tools for evaluating a number of value significance measures of ontological subjects of compositions or networks. The method breaks a composition into its constituent ontological subjects of different orders and builds a participation matrix indicating the participation of ontological subjects of the composition in other ontological subjects, i.e. the partitions, of the composition. Using the participation information of the OSs into each other, an association strength matrix is built from which the value significance measures of the partitions of the composition are calculated. The methods systematically calculate the value significances of the ontological subjects of different orders of the composition. Various systems for implementing the methods and some exemplary applications and services are disclosed.

Abstract: Methods and systems are given for investigation of compositions of ontological subjects in accordance with various aspects of significance. Accordingly, the present invention provide a unified method and process of investigating the compositions of ontological subjects, modeling an unknown system, and obtaining as much worthwhile information and knowledge as possible about the system or the composition or the body of knowledge along with exemplary services utilizing such investigations.

Abstract: A system and method is presented for knowledge discovery that incorporate both human and computers to index, process, and communicate and share the knowledge and electronic contents. It also provides a platform for launching unlimited number of qualified and content reviewed publishing/broadcasting ventures or artificial beings. The system assists individuals for faster and more efficient discovery/creation of new and useful knowledge, and valuable artistic content. It also provides incentives to the owners of the ventures and a method for rewarding or compensating all contributors.

Abstract: Methods and systems are given for investigation of compositions of ontological subjects in accordance with various aspects of significance. Accordingly, the present invention provide a unified method and process of investigating the compositions of ontological subjects, modeling an unknown system, and obtaining as much worthwhile information and knowledge as possible about the system or the composition or the body of knowledge along with exemplary services utilizing such investigations.

Abstract: The present invention discloses methods, systems, and tools for knowledge processing by building maps of ontological subjects for compositions or the contents accompanying a request for service by a user. In one embodiment of the invention the method assigns and calculates an ontological subject power spectrum to each composition or ontological subject. The resulting power spectrum and the adjacency matrix of the map are used to evaluate the merits of the compositions in the context of reference universes. It is also used as a research guiding tool for knowledge discovery. The invention serves knowledge seekers, knowledge creators, inventors, discoverer, as well as general public by assisting and guiding users to assess their work, identify their unknowns, optimize their research trajectory, and provide higher quality contents. The method and system, thereby, is instrumental in increasing the speed and efficiency of knowledge acquisition, discovery, retrieval, as well as faster learning and problem solving.