| 摘要 |
A dynamic classification system determines content of input discourse. The dynamic classification system includes a dynamic classification system that generates a detailed and comprehensive knowledge catalog based on terminology used in the input discourse. A theme vector processor identifies themes including identifying the relative importance of the themes in the input discourse. The knowledge catalog includes static ontologies arranged in a hierarchical structure, wherein each static ontology contains a plurality of high level knowledge concepts. High level themes extracted from the input discourse are mapped to one or more knowledge concepts in the static ontologies. The dynamic classification system generates one or more dynamic hierarchies, consisting of low level or detailed knowledge concepts, based on themes extracted from the input discourse. The high level themes mapped to the static ontologies are linked to the low level themes in the dynamic hierarchies to generate a world view knowledge catalog. In addition, knowledge concepts in the dynamic hierarchies and static ontologies are cross referenced permitting flexibility to relate one or more groups of knowledge concepts in one or more static and/or dynamic hierarchies. Thus, the knowledge catalog provides both a broad and detailed classification of knowledge for the input discourse.
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