A weighted ontology-based semantic similarity algorithm for web services

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DOIResolve DOI: http://doi.org/10.1016/j.eswa.2009.04.034
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TypeArticle
Journal titleInternational Journal of Expert Systems and Applications
Volume36
Issue10
Pages1248012490; # of pages: 11
Subjectsemantic web services, semantic similarity, degree of matching rank
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, a 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 by applying some matching algorithms between advertisements and requests described in OWL-S to recognize various degrees of matching for Web services. Based on the Semantic Web Service framework, semantic matchmaker and a probabilistic matching approach, this paper proposes a weighted ontology-based semantic similarity algorithm for web service to support a more automated and veracious service discovery and rank process in the Semantic Web Service Framework.
Publication date
LanguageEnglish
AffiliationNRC Institute for Research in Construction; National Research Council Canada
Peer reviewedYes
NRC number52688
20675
NPARC number20374594
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Record identifierd5a3cf5c-5bde-410f-b25a-14352daf46c3
Record created2012-07-23
Record modified2016-05-09
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