Nonmonotonic fuzzy rules in the semantic web

Authors:
Xing Wang;Z. M. Ma;Changming Xu;Jingwei Cheng
Affiliations:
College of Information Science and Engineering, Northeastern University, China;College of Information Science and Engineering, Northeastern University, China;College of Information Science and Engineering, Northeastern University, China;College of Information Science and Engineering, Northeastern University, China
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 2
Year:
2009

Citing 2
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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.