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Nonmonotonic Fuzzy Rules in the Semantic Web

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4 Author(s)
Xing Wang ; Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China ; Ma, Z.M. ; Changming Xu ; Jingwei Cheng

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.

Published in:
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on  (Volume:2 )

Date of Conference: 14-16 Aug. 2009

Page(s):
275 - 279
Print ISBN:
978-0-7695-3735-1
INSPEC Accession Number:
11046841
Conference Location :
Tianjin
Digital Object Identifier :
10.1109/FSKD.2009.323
Product Type:
Conference Publications

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