Abstract :
A 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 by applying some matching algorithms between advertisements and requests described in OWL-S to recognize various degrees of matching for Web services. Based on Semantic Web Service framework, semantic matchmaker, specification matching and probabilistic matching approach, this paper proposes a fuzzy-set based semantic similarity matching algorithm for Web Service to support a more automated and veracity service discovery process in the Semantic Web Service Framework.
Keywords :
Web services; category theory; fuzzy set theory; ontologies (artificial intelligence); semantic Web; OWL-S; UDDI service registry; WSDL-specified services; Web-based applications; augmenting Web service descriptions; category-based service discovery; fuzzy-set; probabilistic matching approach; semantic Web services architecture; semantic Web technology; semantic matchmaker; semantic similarity matching algorithm; specification matching; veracity service discovery process; Algorithm design and analysis; Automation; Computer integrated manufacturing; Computerized monitoring; Grounding; Information retrieval; Ontologies; Semantic Web; Service oriented architecture; Web services; Fuzzy-set; Matching Degree; Semantic Similarity; Semantic Web Services;
