Paper Info
Title
Fuzzy extensions of OWL: Logical properties and reduction to fuzzy description logics
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 of f-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.
Year
DOI
Venue
2010
10.1016/j.ijar.2010.01.005
Int. J. Approx. Reasoning
Keywords
Field
DocType
fuzzy owl,fuzzy subsumption,elementary fuzzy extension,fuzzy description logic,reduction of f-owl,fuzzy description logics,classical dls,knowledge representation language,logical property,fuzzy extension,reduction of f-nominals,expressive fuzzy description logics,inference problem,syntactic sugar axioms,fuzzy dls,fuzzy nominal,web ontology language,abstract syntax,knowledge representation,semantic web,description logic
T-norm fuzzy logics,Computer science,Description logic,Semantic Web,Theoretical computer science,Natural language processing,Artificial intelligence,Semantic Web Rule Language,Ontology language,Knowledge representation and reasoning,Fuzzy logic,Semantics,Machine learning
Journal
Volume
Issue
ISSN
51
6
International Journal of Approximate Reasoning
Citations 
PageRank 
References 
40
1.26
32
Authors
3
Name
Order
Citations
PageRank
Giorgos Stoilos1124167.47
Giorgos Stamou2120076.88
Jeff Z. Pan32218158.01