A fuzzy matchmaking approach for Semantic Web Services with application to collaborative material selection

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DOIResolve DOI: http://doi.org/10.1016/j.compind.2011.10.001
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TypeArticle
Journal titleComputers in Industry
ISSN0166-3615
Volume63
Issue3
Pages193209
SubjectSemantic Web Services; Similarity; Matchmaking; Fuzzy-set; Material selection
AbstractA critical step in the process of reusing existing WSDL-specified services for building web-based applications is the discovery of potentially relevant services. However, the category-based service discovery, such as UDDI, is clearly insufficient. Semantic Web Services, augmenting Web service descriptions using Semantic Web technology, were introduced to facilitate the publication, discovery, and execution of Web services at the semantic level. Semantic matchmaker enhances the capability of UDDI service registries in the Semantic Web Services architecture and it is able to recognize various degrees of matching for Web services. Based on the Semantic Web Service framework, semantic matchmaker, specification matching and probabilistic matching, this paper proposes a fuzzy matchmaking approach for Semantic Web Services to support a more automated and veracious service discovery process in collaborative manufacturing environments. In the proposed approach, the membership function is set up on the semantic information annotated on WSDL specification of a web service, and the similarity of service objects is evaluated by the similarity degree of service attributes. A collaborative material selection case study in the die casting process for thermoelectric fan housing is used to illustrate the proposed approach.
Publication date
LanguageEnglish
AffiliationNational Research Council Canada; Construction
Peer reviewedYes
IdentifierS0166361511001151
NPARC number21268710
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Record identifier385ada14-ae71-49c4-baff-5b23538e10ab
Record created2013-11-08
Record modified2017-04-05
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