Utilizing Semantic Information From Linked Open Data In Web Service Clustering

With web services growing and accumulating in application area, service discovery has become a hot issue for service composition and service management. Service clustering provides a promising way to split the whole searching space into small regions so as to minimize the discovery time effectively. However, semantic information is a critical element during the whole disposing process. Current industrialized Web Service Description Language (WSDL) does not contain enough information for service description. Therefore, a service clustering method has been proposed, which enhances original WSDL document with semantic information by means of Linked Open Data (LOD). Experiment based on real service data has been performed, and comparison with similar methods has also been provided to demonstrate the effectiveness of the method. It is shown that utilizing semantic information from LOD enhances the precision of service clustering. And it forms a sound base for further comprehensive processing with semantic information.