Fuzzy sets and similarity relations for semantic web service matching

Authors:
Li Bai;Min Liu
Affiliations:
Lixin Accounting Research Institute, Shanghai Lixin University of Commerce, Shanghai 201620, China;The Key Laboratory of Embedded System and Service Computing, Tongji University, Shanghai 200092, China
Venue:
Computers & Mathematics with Applications
Year:
2011

Citing 2
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Abstract

Semantic Web Services (SWS) were introduced to facilitate the publication, discovery, and execution of web services. A semantic matchmaker enhances the capability of UDDI service registries in the SWS architecture and it is able to recognize various degrees of matching for web services. On the basis of SWS and fuzzy-set theory, a fuzzy matching approach for semantic web services is proposed, to support a more automated and veracious service discovery process.