Web service discovery based on keyword clustering and ontology

One of the challenging problem that Web service technology is now facing is effective service discovery. To solve the deficiencies of Web service description, matching and choosing under WSDL language, this paper presents a web service discovery method based on keyword clustering and concept expansion, mainly from the content of Web service, reasoning of service request and service matching, through classification and subsumption of concept, this paper retrieve and extract Web service content. Meanwhile, use weighted bipartite graph to match user request and published Web service, so as to enhance Web service discovery ability.