Epistemic Semantics Based Bayes Rules for Fuzzy Description Logics in Semantic Web

摘要

Regarding the imperfect nature of knowledge in Semantic Web, uncertainty and vagueness seem different, but are desired to be merged. In this paper, concerning this merging problem, we introduce Bayes rules into Fuzzy Description Logics to model complex, even uncertain relationships between fuzzy concepts. Then, an extended epistemic semantics is approached to give Bayes rules well-defined meanings. At last, regarding the reasoning issues, the basic ideas of Bayes rule based knowledge query are talked.