Title :
A Fuzzy Extension of OWL for Vague Knowledge
Author :
Zhao, Dexin ; Feng, Zhiyong ; Yu, Qing ; Xu, Guangquan
Author_Institution :
Tianjin Univ., Tianjin
Abstract :
OWL web ontology language is an official W3C recommendation in ontology language that has recently been developed by the W3C. 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. The feature of the extension is that it has the ability of capture the vague concepts with the defined modifying operators.
Keywords :
fuzzy logic; fuzzy set theory; ontologies (artificial intelligence); semantic Web; description logic; fuzzy logic; multimedia application; official W3C recommendation; ontology Web language; semantic Web; vague knowledge; Automatic logic units; Computer science; Fuzzy logic; Fuzzy set theory; Humans; Knowledge representation; OWL; Ontologies; Semantic Web; Uncertainty;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
DOI :
10.1109/FSKD.2007.34