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Author Lam, T.H.W.
Sponsorship IEEE Comput. Soc. ♦ WIC ♦ ACM
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2006
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Fuzzy logic ♦ Semantic Web ♦ Fuzzy sets ♦ Uncertainty ♦ Markup languages ♦ OWL ♦ Ontologies ♦ Fuzzy set theory ♦ Resource description framework ♦ Graph theory
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
Description Author affiliation: Dept. of Comput., Hong Kong Polytech. Univ., Kowloon (Lam, T.H.W.)
ISBN 0769527477
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2006-12-18
Publisher Place China
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 185.91 kB
Page Count 4
Starting Page 506
Ending Page 509


Source: IEEE Xplore Digital Library