Effective Service Composition Using Semantics-Based Automated Service Discovery

Composition of Web services has received much interest to support business-to-business or enterprise application integration. On the one side, the business world has developed a number of XML-based standards to formalize the specification of Web services. In this paper, we propose the issue of web service discovery given non-explicit semantic-based service request. Our approach of semantic-based web service discovery involves semantic-based service categorization and semantic enhancement of the composition of service requests. And the functional level service categorization is based on ontology framework. Also uses clustering, to classify the web services accurately based on the service functionality. The semantic-based categorization is done offline at UDDI. The semantic enhancement process includes better matching with relevant services. Additional terms related to service requests are retrieved from the ontology. Service matching between requested service and the retrieved service description is done through Latent Semantic Indexing (LSI) method. Our experimental results validate the effectiveness and feasibility of the proposed scenario.