Abstract:
A SEMANTIC SIMILARITY MATCHING SYSTEM (100) OF A PLURALITY OF CONCEPTUAL GRAPHS IS PROVIDED, THE SYSTEM (100) INCLUDES A SEMANTIC SIMILARITY MATCHING COMPONENT (110) WHICH FURTHER INCLUDES A CONCEPTUAL GRAPH PROCESSOR (120), A DATABASE (130) OPERATIVELY CONNECTABLE TO THE CONCEPTUAL GRAPH PROCESSOR (120) AND A SEMANTIC SIMILARITY CALCULATOR (140) WHEREIN OUTPUT OF THE SEMANTIC SIMILARITY CALCULATOR (140) IS A SIMILARITY INDEX (SI) OF THE PLURALITY OF CONCEPTUAL GRAPHS. THE MOST ILLUSTRATIVE DRAWING:
Abstract:
A SEMANTIC INTERPRETATION SYSTEM (200) BASED ON WORD LINKAGE INFORMATION (201) AND CONTEXTUAL MEANING OF A PLURALITY OF NATURAL LANGUAGE SENTENCES FROM A SYNTACTIC TREE STRUCTURE (203) IS PROVIDED, THE SYSTEM (200) INCLUDES A SEMANTIC INTERPRETATION PROCESSOR (120), WHICH FURTHER INCLUDES A COMPILER (205) CONNECTABLE TO A LINKAGE OPERATION MODULE (202) AND A SYNTAX OPERATION MODULE (204), A CONCEPTUAL GRAPH PROCESSOR (209) CONNECTABLE TO THE SEMANTIC INTERPRETATION PROCESSOR (120) AND A MEANS TO ACCESS A KNOWLEDGE BASE (211), CONNECTABLE TO THE CONCEPTUAL GRAPH PROCESSOR (209), WHEREIN AN OUTPUT OF THE SEMANTIC INTERPRETATION PROCESSOR (120) IS AT LEAST ONE CONCEPTUAL GRAPH AND A PLURALITY OF INPUTS TO THE SYSTEM (200) FURTHER INCLUDE WORD LINKAGE INFORMATION (201) AND SYNTACTIC TREE STRUCTURE (203). THE MOST ILLUSTRATIVE DRAWING: FIG. 2
Abstract:
A METHOD (100) AND SYSTEM (200) FOR ONTOLOGY NAVIGATION AND VISUALIZATION, THE SYSTEM (200) COMPRISES AN ONTOLOGY NAVIGATOR (202). THE ONTOLOGY NAVIGATOR (202) COMPRISES MEANS FOR GRAPHICALLY DISPLAYING A PLURALITY OF CONCEPTS (102) OF AT LEAST ONE ONTOLOGY KNOWLEDGE BASE (206), RECEIVING A USER QUERY OF AT LEAST ONE CONCEPT FROM THE PLURALITY OF CONCEPTS (104), IDENTIFYING A VISUALIZATION APPLICATION (204) FOR VISUALIZING THE AT LEAST ONE CONCEPT (106), GENERATING AN INFORMATION SET (108) OF THE AT LEAST ONE CONCEPT RECOGNIZED BY THE VISUALIZATION APPLICATION (204), AND FORWARDING THE INFORMATION SET (110) OF THE AT LEAST ONE CONCEPT TO THE VISUALIZATION APPLICATION (204).
Abstract:
THE PRESENT INVENTION DISCLOSES A METHOD AND SYSTEM FOR IMAGE CLASSIFICATION, WHEREBY THE MAIN COMPONENTS COMPRISES AT LEAST ONE MEANS CONFIGURED AS CLASSIFICATION ENGINE HANDLER (100), AT LEAST ONE MEANS AS RESULT ANALYZER HANDLER (200), AT LEAST ONE MEANS CONFIGURED AS A DYNAMIC MODULE LOADER (300) AND AT LEAST ONE MEANS CONFIGURED AS AN IMAGE CLASSIFIER FOR ASSOCIATING THE IMAGE INPUT TO RELEVANT CLASSES (30), AT LEAST ONE MEANS FOR ANALYZING RESULTS (600) AND AT LEAST ONE MEANS FOR MERGING AND THUS PRODUCING A GENERIC RESULT (700) . THE OUTPUT OF THE METHOD AND SYSTEM OF THE PRESENT INVENTION IS A MERGED CLASSIFICATION OUTPUT BASED ON THE CLASSIFICATION RESULTS FROM A PLURALITY OF CLASSIFIERS.
Abstract:
THE PRESENT INVENTION RELATES TO A METHOD THAT USES A RECURSIVE MEANS TO CONDUCT A VISUAL QUERY GRAPHICALLY TO RETRIEVE INFORMATION FROM ONTOLOGIES. THE METHOD IS COMPRISED THE STEPS OF LOADING AN ONTOLOGY, FORMING A VISUAL QUERY GRAPH, CONVERTING THE VISUAL QUERY GRAPH INTO A RECURSIVE QUERY GRAPH BY USING A GRAPHICAL NOTATION, INTERPRETING THE RECURSIVE QUERY GRAPH AND CONVERTING THE RECURSIVE QUERY GRAPH INTO A RECURSIVE INTERNAL REPRESENTATION THAT ALLOWS RECURSION, RETRIEVING QUERY RESULTS FROM THE INTERNAL REPRESENTATION; AND VISUALIZING THE RESULTS. THE PRESENT INVENTION IS ALSO RELATED TO A SYSTEM 100 THAT USES A RECURSIVE MEANS TO CONDUCT A VISUAL QUERY GRAPHICALLY TO RETRIEVE INFORMATION FROM ONTOLOGIES. THE SYSTEM 100 IS COMPRISED OF AN ONTOLOGY LOADER 10, A RECURSIVE QUERY CONSTRUCTOR COMPONENT (20) FOR FORMING A VISUAL QUERY GRAPH AND FOR CONVERTING THE VISUAL QUERY GRAPH INTO A RECURSIVE QUERY GRAPH BY USING A GRAPHICAL NOTATION, A RECURSIVE GRAPHICAL QUERY LANGUAGE INTERPRETER COMPONENT 30 FOR INTERPRETING THE RECURSIVE QUERY GRAPH AND FOR CONVERTING THE RECURSIVE QUERY GRAPH INTO A RECURSIVE INTERNAL REPRESENTATION THAT ALLOWS RECURSION, AND A RESULTS VISUALIZER 50.
Abstract:
A system for semantic images browsing and navigation for visualizing and learning of human anatomy comprises an information database (13) with records of medical knowledge bases; a first display interface (11) which allows user to manipulate an ontology for requested concepts on subject of interest, wherein the concepts and its knowledge bases in the information database (13) having tags which are harmonized and synchronized; and a base server (15) connected to the information database (13) and first display interface (11). The system (10) further comprises a graphical database (14) containing three-dimensional images of human anatomy; a second display interface (12) which allows user to manipulate images of subject of interest, wherein the images having tags which are harmonized and synchronized; and a graphic engine (16) connected to the graphical database (14) and second display interface (12), the graphic engine (16) is linked to the base server (15) for fetching the corresponding concept or image upon user requests.