Title :
Fuzzy Ontology Map--A Fuzzy Extension of the Hard-Constraint Ontology
Author_Institution :
Dept. of Comput., Hong Kong Polytech. Univ., Kowloon
Abstract :
In semantic Web, descriptive markup languages, such as resource description framework (RDF) and ontology Web language (OWL), were proposed to model the Web content in a machine-readable way. Since these ontology markup languages deals with hard semantics in the description and manipulation of crisp data. It is not able to represent uncertain information. The work described in this paper is about developing an extension of the current ontology representation which supports uncertain information modeling. The extension is called fuzzy ontology map (FOM) which is based on fuzzy theory and graph theory. FOM is a connection matrix which collects the membership value between classes in the ontology. We define a set of algorithms for inferring fuzzy relationship in the FOM
Keywords :
electronic data interchange; fuzzy set theory; graph theory; knowledge representation languages; meta data; ontologies (artificial intelligence); semantic Web; uncertainty handling; descriptive markup language; fuzzy ontology map; graph theory; ontology Web language; resource description framework; semantic Web; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Graph theory; Markup languages; OWL; Ontologies; Resource description framework; Semantic Web; Uncertainty;
Conference_Titel :
Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2747-7