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Intelligent Topic Map we proposed extends the conventional topic map in structure and enhances the reasoning functions. It embodies the multi-level, multi-granularity and inherent relevant characteristics of knowledge, and establishes corresponding logical reasoning rules and grammar, then realizes knowledge representation and knowledge reasoning. With the Intelligent Topic Map as infrastructure,...
The characteristics of information resources are distributed, autonomous, heterogeneous and full of semantics in complex knowledge-based organizations at the era of knowledge economy. In order to realize efficient knowledge acquisition, representation, exchange, and sharing, we propose a novel concept of extended topic map, which extends the conventional topic map in structure. It embodies the multi-level,...
The conventional topic map is extended on the structure of logic organization. The association of topic-knowledge element-occurrence and the relevance between the topics and between the knowledge elements are established. Distributed knowledge management based on extended topic maps is proposed. The semantic organization and joining between the physical resource entities and the abstract concepts...
The conventional model for knowledge organization management is based on resource; index and metadata catalog. It is difficult to express the concept of knowledge resource, the information contained in knowledge elements and the inner relevance of information. In an attempt to solve this problem, a new model for distributed knowledge organization management is proposed based on extended topic maps...
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