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.

作者: Changli Zhang Jian Wu Zhengguo Hu

作者单位: Department of Computer Science, Northwestern Polytechnical University, Xian 710072, China

会议类型: 国际会议

会议名称: 2007年第三届语义和知识网格国际会议(Third International Conference on Semantics,Knowledge,and Grid)(SKG 2007)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-10-29（万方平台首次上网日期，不代表论文的发表时间）