Web service discovery utilizing logical reasoning and semantic similarity

Web service discovery facilitates the implementation of complex and reconfigurable applications in service-oriented architecture, such as service selection, composition, and provision. This paper presents an approach for semantic and automated Web service discovery. Our approach to semantic Web service discovery consists of ontology-based service preprocessor, reasoning-based service filter, and parameter-based service matcher. An important feature of this approach is that the relationship among concepts in ontology is quantified and considered as an important factor in the matching process, which results in high precision and recall. Additionally, we propose a filtering method based on logical reasoning to preprocess the large amount of Web services. Through the filtering method, Web services which are feasible in logic are selected to be matched with user requests. So there is a great improvement in the run-time performance of service discovery approach. Experiments show that our approach is feasible and effective to discover the required Web services.