DocumentCode :
507080
Title :
Nonmonotonic Fuzzy Rules in the Semantic Web
Author :
Wang, Xing ; Ma, Z.M. ; Xu, Changming ; Cheng, Jingwei
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Volume :
2
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
275
Lastpage :
279
Abstract :
Based on negation and negation as failure, in the paper, we propose a new rule language-fuzzy nonmonotonic semantic Web rule language (f-NSWRL), which suffices to represent and reason nonmonotonic fuzzy knowledge. The issue of priority is discussed and the deciding principles of priorities of competing rules are offered. To make RuleML play a role of an intermediary language when f-NSWRL interchanges rules with other rule languages, we extend RuleML to encode nonmonotonic fuzzy rules.
Keywords :
fuzzy set theory; semantic Web; RuleML; fuzzy nonmonotonic semantic Web rule language; nonmonotonic fuzzy knowledge; Databases; Educational institutions; Fuzzy sets; Fuzzy systems; Information science; Knowledge engineering; Markup languages; OWL; Semantic Web; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
Type :
conf
DOI :
10.1109/FSKD.2009.323
Filename :
5359451
Link To Document :
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