Title :
A Proposal to Handle Inconsistent Ontology with Fuzzy OWL
Author :
Kong, Hongbin ; Xue, Gang ; He, Xianglin ; Yao, Shaowen
Author_Institution :
Sch. of Inf. Sci. & Eng., Yunnan Univ., Kunming, China
fDate :
March 31 2009-April 2 2009
Abstract :
Ontology plays a key role in the semantic Web. Conclusions drawn from inconsistent ontology by classical reasoner may be completely meaningless. This paper uses fuzzy set theory to eliminate inconsistency of OWL-based ontology. The main goal is to analyze essence of inconsistent ontology and find method to deal with inconsistency. The method can be used as a foundation of inconsistency elimination as well as a basis for future research on fuzzy ontology reasoning.
Keywords :
fuzzy reasoning; fuzzy set theory; ontologies (artificial intelligence); semantic Web; fuzzy OWL; fuzzy reasoning; fuzzy set theory; inconsistency elimination; inconsistent ontology handling; semantic Web; Central nervous system; Computer displays; Forward contracts; Fuzzy logic; Fuzzy set theory; OWL; Ontologies; Proposals; Resource description framework; Semantic Web; Fuzzy OWL; Inconsistent Ontology; Semantic Web;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.281
