Model based Semantic Web Service retrieval

Web Service discovery is a crucial task to enable interoperability by means of service-oriented architectures. In this context, existing approaches for Web Service discovery propose complex models for Semantic Web Service descriptions, built on top of the Web Service Description Languages (WSDL) standard. In this paper we provide a framework for service discovery supported by semantic annotations. We propose a metamodel representation of both the WSDL documents and the associated semantic annotations. Based on this metamodel, effective service discovery is achieved by a Datalog engine implementing flexible matchmaking techniques that allow both exact and partial matches among search results. The metamodel is supported by a storage system that ensures scalability of the entire process. Finally we illustrate experiments on a public dataset of semantic service descriptions