Title :
Epistemic Semantics Based Bayes Rules for Fuzzy Description Logics in Semantic Web
Author :
Zhang, Changli ; Wu, Jian ; Hu, Zhengguo
Author_Institution :
Northwestern Poly Tech. Univ., Xian
Abstract :
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.
Keywords :
Bayes methods; fuzzy logic; fuzzy reasoning; semantic Web; uncertainty handling; Bayes rule based knowledge query; epistemic semantics; fuzzy concepts; fuzzy description logics; merging problem; reasoning; semantic Web; uncertain relationships; Computer science; Diseases; Fuzzy logic; Influenza; Medical diagnosis; Merging; Semantic Web; State estimation; Uncertainty; Weather forecasting;
Conference_Titel :
Semantics, Knowledge and Grid, Third International Conference on
Conference_Location :
Shan Xi
Print_ISBN :
0-7695-3007-9
Electronic_ISBN :
978-0-7695-3007-9
DOI :
10.1109/SKG.2007.45
