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Fuzzy extensions of OWL: Logical properties and reduction to Fuzzy Description Logics

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dc.contributor.author Stoilos, G en
dc.contributor.author Stamou, G en
dc.contributor.author Pan, JZ en
dc.date.accessioned 2014-03-01T01:33:31Z
dc.date.available 2014-03-01T01:33:31Z
dc.date.issued 2010 en
dc.identifier.issn 0888-613X en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/20459
dc.subject Fuzzy OWL en
dc.subject Fuzzy Description Logics en
dc.subject Reduction of f-OWL en
dc.subject Syntactic sugar axioms en
dc.subject Reduction of f-nominals en
dc.subject.classification Computer Science, Artificial Intelligence en
dc.subject.other SEMANTIC WEB en
dc.title Fuzzy extensions of OWL: Logical properties and reduction to Fuzzy Description Logics en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.ijar.2010.01.005 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.ijar.2010.01.005 en
heal.language English en
heal.publicationDate 2010 en
heal.abstract The Semantic Web is an extension of the current web, where information would have precisely defined meaning, based on knowledge representation languages. The current W3C standard for representing knowledge is the Web Ontology Language (OWL). OWL is based on Description Logics which is a popular knowledge representation formalism. Although, DLs are quire expressive they feature limitations with respect to what can be said about vague knowledge, which appears in several applications. Consequently, fuzzy extensions to OWL and DLs have gained considerable attention. In the current paper we study fuzzy extensions of the Semantic Web language OWL. First, we present the (abstract) syntax and semantics of a rather elementary fuzzy extension of OWL creating fuzzy OWL (f-OWL). More importantly we use this extension to provide an investigation on the semantics of several f-OWL axioms and more precisely for those which, in classical DLs, can be expressed in different but equivalent ways. Moreover, we present a translation method which reduces inference problems off-OWL into inference problems of expressive fuzzy Description Logics, in order to provide reasoning support through fuzzy DLs. Finally, we present two further fuzzy extensions of OWL based on fuzzy subsumption and fuzzy nominals. (C) 2010 Elsevier Inc. All rights reserved. en
heal.publisher ELSEVIER SCIENCE INC en
heal.journalName INTERNATIONAL JOURNAL OF APPROXIMATE REASONING en
dc.identifier.doi 10.1016/j.ijar.2010.01.005 en
dc.identifier.isi ISI:000279207100003 en
dc.identifier.volume 51 en
dc.identifier.issue 6 en
dc.identifier.spage 656 en
dc.identifier.epage 679 en


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