Abstract: Data structures, systems, methods and computer program products that enable precise information retrieval and extraction, and thus facilitate relational and associative discovery are disclosed. The present invention utilizes a novel data structure termed a “Knowlet” which combines multiple attributes and values for relationships between concepts. While texts contain many re-iterations of factual statements, Knowlets record relationships between two concepts only once and the attributes and values of the relationships change based on multiple instances of factual statements, increasing co-occurrence or associations. The present invention's approach results in a minimal growth of the Knowlet space as compared to the text space and it thus useful where there is a vast data store, a relevant ontology/thesaurus, and a need for knowledge navigation and (relational, associative, and/or other) knowledge discovery.

Abstract: Systems, methods and computer program products for navigating concepts found in data produced by intellectuals in a knowledge discovery process are disclosed. The present invention utilizes data sources and facilities for enabling community-based contributions for identifying associations between concepts disclosed by intellectuals. The present invention's approach results in having concepts mapped to authors and tools for linking related concepts with groups of intellectuals and/or contributors.

Abstract: Data structures, systems, methods and computer program products that enable precise information retrieval and extraction, and thus facilitate relational and associative discovery are disclosed. The present invention utilizes a novel data structure termed a “Knowlet” which combines multiple attributes and values for relationships between concepts. While texts contain many re-iterations of factual statements, Knowlets record relationships between two concepts only once and the attributes and values of the relationships change based on multiple instances of factual statements, increasing co-occurrence or associations. The present invention's approach results in a minimal growth of the Knowlet space as compared to the text space and it thus useful where there is a vast data store, a relevant ontology/thesaurus, and a need for knowledge navigation and (relational, associative, and/or other) knowledge discovery.

Abstract: Methods and computer program products utilizing a graphical user interface for navigating concepts found in data produced by intellectuals in a knowledge discovery process are disclosed. The present invention utilizes a graphical user interface and related facilities for enabling community-based contributions in identifying associations between concepts disclosed by intellectuals. The present invention's approach results in having concepts mapped to authors and tools for linking related concepts with groups of intellectuals and/or contributors.

Abstract: Systems, methods and computer program products for navigating concepts found in data produced by intellectuals in a knowledge discovery process are disclosed. The present invention utilizes data sources and facilities for enabling community-based contributions for identifying associations between concepts disclosed by intellectuals. The present invention's approach results in having concepts mapped to authors and tools for linking related concepts with groups of intellectuals and/or contributors.

Abstract: Data structures, systems, methods and computer program products that enable precise information retrieval and extraction, and thus facilitate relational and associative discovery are disclosed. The present invention utilizes a novel data structure termed a “Knowlet” which combines multiple attributes and values for relationships between concepts. While texts contain many re-iterations of factual statements, Knowlets record relationships between two concepts only once and the attributes and values of the relationships change based on multiple instances of factual statements, increasing co-occurrence or associations. The present invention's approach results in a minimal growth of the Knowlet space as compared to the text space and it thus useful where there is a vast data store, a relevant ontology/thesaurus, and a need for knowledge navigation and (relational, associative, and/or other) knowledge discovery.

Abstract: A method of navigating an airborne vehicle using observation of linear features such as roads, railroads, rivers or the like. Maps of linear features in several discrete areas along an intended flight path are prepared and entered into an on-board computer memory. The vehicle typically uses an inertial navigation system during flight from the origin to the first mapped area. Imaging sensors and on-board processing detect linear features as the vehicle approaches or passes over them. The sensed feature pattern network is compared to the reference mapped feature network to update the inertial navigation system to generate guidance commands. Frequent updates at other mapped areas keep the vehicle on course. This system is also capable of navigation updates from single linear features when the flight path is fairly well known, and of tracking a linear feature for terminal guidance. In these cases, only a small number of feature parameters need to be stored, rather than an area map.