Title :
Extending Ontology Language for Semantic Web
Author :
Yu, Qing ; Wang, Jinlin
Author_Institution :
Tianjin Univ., Tianjin
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;
Conference_Titel :
Computational Intelligence and Security Workshops, 2007. CISW 2007. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-0-7695-3073-4
DOI :
10.1109/CISW.2007.4425459
