A fuzzy logic based approach to expressing and reasoning with uncertain knowledge on the semantic web

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DOIResolve DOI: http://doi.org/10.1007/978-3-642-27534-0_11
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TypeArticle
Journal titleStudies in Computational Intelligence
ISSN1860-949X
ISBN9783642275333
Volume399
Pages167181; # of pages: 15
AbstractThe necessity of dealing with uncertain knowledge has arisen from Semantic Web applications in different areas. Handling uncertainty thus becomes one of the key research directions in the Semantic Web community. This paper introduces a fuzzy logic based approach which extends the classic Description Logic with Zadeh semantics to deal with uncertain knowledge about concepts and roles as well as instances of concepts and roles. Uncertain knowledge representation and the reasoning algorithm for consistency checking of a fuzzy knowledge base are addressed in detail. This paper also discusses complexity issues of the reasoning problem. © 2012 Springer-Verlag GmbH Berlin Heidelberg.
Publication date
LanguageEnglish
AffiliationNational Research Council Canada (NRC-CNRC); NRC Institute for Information Technology (IIT-ITI)
Peer reviewedYes
NPARC number21269154
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Record identifier113c4e9d-51c1-4cf1-9022-78baf72eeede
Record created2013-12-12
Record modified2016-05-09
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