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- W1860601579 abstract "AbstractKnowledge base is the foundation of intelligent systems. It is very important to insure the consistency and non-redundancy of knowledge in a knowledge base. Due to the variety of exterior knowledge sources, it is necessary to eliminate incompatible knowledge and equivalence knowledge in the process of knowledge integration. In this paper, we research a strategy to eliminate incompatible knowledge and equivalence knowledge in knowledge integration based on equivalence classification, and so present a new knowledge integration algorithm which is effective in improving the efficiency of knowledge integration.KeywordsKnowledge BaseEquivalence ClassKnowledge SourceEquivalence KnowledgeKnowledge IntegrationThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
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- W1860601579 date "2006-01-01" @default.
- W1860601579 modified "2023-10-16" @default.
- W1860601579 title "A Method to Eliminate Incompatible Knowledge and Equivalence Knowledge" @default.
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- W1860601579 doi "https://doi.org/10.1007/11739685_30" @default.
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