Search

The web-services stack of standards is designed to support the reuse and interoperation of software components on the web. Semantic Web services envision the automated discovery and selection of Web services. The discovery and selection process finds matches between requirements and advertisements according to their semantic description. There are already some approaches available for matching of service requirements with service advertisements. We propose a ranked approach of Web service matching that complements logic based reasoning with approximate matching, which ranks the matching degree of service descriptions according to OWL-S. Our service matching method is based on Latent Semantic Indexing and a logic based reasoning. Contrary to mechanisms that return only success or fail, ranked results provide criteria for the selection of a service among a large set of results.

With the number of registered web services growing, Identifying desired Web service is crucial for Web users. Current keyword based service search are inefficient in two main aspects: poor scalability and lack of semantics. Firstly ,the users are overwhelmed by the huge number of irrelevant services returned. Secondly, the intentions of users and the semantics in Web services are ignored. We propose a hybrid approach of Web service selection that complements logic based reasoning with approximate matching. In particular, the large set of available web services is first clustered into a set of smaller groups. Then a logic based reasoning with approximate matching based on Ontology is applied, which is followed by a syntactic matching method based on Singular Value Decomposition (SVD). Therefore, service matching is conducted within both syntactic-level and semantic-level.A set experimental results demonstrate that the proposed method outperforms several other alternative methods.