Data integration and knowledge management solution
First Claim
1. A computer controlled method for identifying concepts and relations in different types of data pertaining to at least one application domain, said data including at least one of a group consisting of linguistic data, image data, video data, sound data, control data, measurement data, olfactive and tactile data, said method comprising the steps of:
- defining concepts associated with an application domain, a concept specifies an amount of information relating to said application domain and is expressed in a logical dimension and a perceptual dimension;
defining relations between said concepts, a relation specifies an informative association between concepts of said application domain in at least one of said logical dimension and said perceptual dimension;
defining concept-relation-concept (CRC) patterns for said application domain, in said logical and perceptual dimension;
acquiring data pertaining to said application domain; and
identifying concepts, relations and CRC patterns in said acquired data in said logical and perceptual dimensions using said concepts, relations and CRC-patterns defined for said application domain when performing a service selected from the group consisting of a data categorization service, a data visualization service, a data distribution service, a decision support service, a data search service, a data summarization service, a data translation service, and a data transformation service.
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Accused Products
Abstract
A multi-dimensional modeling technique and system for knowledge based management, comprises a perceptual engine of relations and concepts; a logical engine of relations and concepts; an inference engine of relations and concepts. The engines operatively connect to a data analysis engine for analyzing an information source, such as a text, sound, video, images, measurement and control data as to its information and knowledge content.
77 Citations
85 Claims
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1. A computer controlled method for identifying concepts and relations in different types of data pertaining to at least one application domain, said data including at least one of a group consisting of linguistic data, image data, video data, sound data, control data, measurement data, olfactive and tactile data, said method comprising the steps of:
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defining concepts associated with an application domain, a concept specifies an amount of information relating to said application domain and is expressed in a logical dimension and a perceptual dimension; defining relations between said concepts, a relation specifies an informative association between concepts of said application domain in at least one of said logical dimension and said perceptual dimension; defining concept-relation-concept (CRC) patterns for said application domain, in said logical and perceptual dimension; acquiring data pertaining to said application domain; and identifying concepts, relations and CRC patterns in said acquired data in said logical and perceptual dimensions using said concepts, relations and CRC-patterns defined for said application domain when performing a service selected from the group consisting of a data categorization service, a data visualization service, a data distribution service, a decision support service, a data search service, a data summarization service, a data translation service, and a data transformation service. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 84, 85)
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41. A computer controlled system for identifying concepts and relations in different types of data pertaining to at least one application domain, said data including at least one of a group consisting of linguistic data, image data, video data, sound data, control data, measurement data, olfactive and tactile data, said system comprising:
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a concepts repository comprising concepts associated with an application domain, a concept specifying an amount of information relating to said application domain and expressed in a logical dimension and a perceptual dimension; a relations repository comprising relations between said concepts, a relation specifying an informative association between concepts of said application domain in at least one of said logical dimension and said perceptual dimension; a CRC-pattern repository comprising CRC-patterns defined for said application domain, in said logical and perceptual dimension, and an analysis engine for acquiring data pertaining to said application domain and arranged for identifying concepts, relations and CRC patterns in said acquired data in said logical and perceptual dimensions using said concepts, relations and CRC-patterns defined for said application domain when performing a service selected from the group consisting of a data categorization service, a data visualization service, a data distribution service, a decision support service, a data search service, a data summarization service, a data translation service, and a data transformation service. - View Dependent Claims (42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83)
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Specification