Extending Ontology Language for Semantic Web

Author

Yu, Qing ; Wang, Jinlin

Author_Institution

Tianjin Univ., Tianjin

fYear

2007

fDate

15-19 Dec. 2007

Firstpage

116

Lastpage

119

Abstract

The paper focuses on how to represent and infer the imprecise or fuzzy knowledge in real world. Ontologies are important technology used to describe the semantics of information, which provide a formal specification of a shared conceptualization. OWL is a promising ontology language 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 uncertain and imprecise information. In this paper, we extend OWL by fuzzy logic called FOWL (fuzzy of OWL) for capturing imprecise or uncertain knowledge encountered in real world. In the end, we give an instance which shows that fuzzy information can be expressed well in the proposed ontology language.

Keywords

formal specification; fuzzy logic; inference mechanisms; knowledge representation languages; ontologies (artificial intelligence); semantic Web; OWL; formal specification; fuzzy knowledge; fuzzy logic; knowledge inference; knowledge representation; ontology language; semantic Web; shared conceptualization; Automatic logic units; Computational intelligence; Computer science; Computer security; Fuzzy logic; Information security; Knowledge engineering; OWL; Ontologies; Semantic Web;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Security Workshops, 2007. CISW 2007. International Conference on

Conference_Location

Harbin

Print_ISBN

978-0-7695-3073-4

Type

conf

DOI

10.1109/CISW.2007.4425459

Filename

4425459