DocumentCode :
2488222
Title :
Representing Fuzzy Information in Ontology Language
Author :
Wang, Jinlin ; Zhao, Dexin ; Yu, Qing
Author_Institution :
Tianjin Univ., Tianjin
fYear :
2007
fDate :
23-24 Nov. 2007
Firstpage :
48
Lastpage :
51
Abstract :
Ontologies play a key role in the semantic Web which vision of the Web is as a universal medium for data, information, and knowledge exchange. OWL is the promising ontology language proposed by W3C, which is intended to provide a formal description of concepts, terms, and relationships within a given knowledge domain. Although OWL has a powerful expressive ability on knowledge, it has no capability to represent the uncertainty and imprecise information. In the context of semantic Web and multimedia applications, concepts are rather vague than precise and there are increasing needs to deal with vague knowledge. This paper proposes an extension of OWL DL with fuzzy logic by giving the formal syntax and semantics, an instance is show that fuzzy information can be expressed well in the proposed ontology language.
Keywords :
computational linguistics; fuzzy logic; fuzzy set theory; ontologies (artificial intelligence); semantic Web; OWL DL; formal syntax; fuzzy information; fuzzy logic; ontology language; semantic Web; Automatic logic units; Computer science; Fuzzy logic; Information technology; Knowledge engineering; Knowledge representation; OWL; Ontologies; Semantic Web; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology Convergence, 2007. ISITC 2007. International Symposium on
Conference_Location :
Joenju
Print_ISBN :
0-7695-3045-1
Electronic_ISBN :
978-0-7695-3045-1
Type :
conf
DOI :
10.1109/ISITC.2007.18
Filename :
4410604
Link To Document :
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