Semantic discovery of web services using principal component analysis

Abstract

With the increase in the number of available web services, searching for appropriate web services fulfilling the service discoverer’s functional requirements has become as major challenge. Web services standards, in their present format support only keyword based search and many services which can fulfill the user’s requirements are not retrieved. Basic requirement for efficient service discovery is to extract the contextual information provided in the service description. In such situation, there are two options either change the present service standards completely or introduce semantics in the present Web Service Description Language (WSDL). In this paper, we propose a novel method of introducing semantic in WSDL and classifying the services into set of pre-defined domains(categories) utilizing the available semantic information. Classification of services in specific domains will reduce the number of recommended services leading to decrease in service discoverer’s search efforts. The results achieved using the proposed approach showed significant precision of the discovered services. Key words: Semantic web services, semantic web services discovery, normalized similarity score, semantic annotations.