2005 · 30 citations · 0 references
ComputingInformation SystemsInformation TechnologyKnowledge RepresentationSemanticsWeb TechnologiesDescription LogicsService DiscoveryService QualityService-oriented ArchitectureMatchingPrecisionSemantic InformationServices SimilaritySimilarity FunctionsSimilarity Scoring FunctionsWeb CompositionWeb Services
Currently, syntactic level service discovery methods, due to insufficient semantic information and the adoption of keyword based match, easily lead to low precision and difficult reuse and composition of Web services. Meanwhile, semantic level service discovery methods, due to the adoption of ontologies without quality of service (Qos) and logical reasoning based match, which result in low matching efficiency and failure in guaranteeing the performance and quality of Web service composition. In this paper, on basis of systematic studying on Web service descriptions, a Qos based Web Service Description Language (QWSDL) is outlined, which supports overall description of the functionality, behavior restraints and Qos attributes. Then, a matching model named “three levels and five kinds” is proposed to discover Web services and introduce similarity functions to rank Web services in Relaxed match. Finally, QWSDL and the Relaxed match are proved to be feasible and effective by some comparative experiments.