A Clustering Based Approach for Facilitating Semantic Web Service Discovery
Ram, Sudha, Hwang, Yousub and Zhao, Huimin, "A Clustering Based Approach for Facilitating Semantic Web Service Discovery" (March 2006). 15th Annual Workshop on Information Technolgies & Systems (WITS) Paper Available at SSRN:
In this paper, we propose a Web service discovery approach that combines clustering techniques with string matching and leverages the semantics of the XML-based service specification in WSDL documents. We believe that this is one of the first attempts at applying data mining techniques in the Web service discovery domain. Our proposed approach has several appealing features: (1) It minimizes the requirement of prior knowledge from both service consumers and publishers; (2) It avoids exploiting domain dependent ontologies; and (3) It is able to visualize the semantic relationships among Web services. We have developed a Web service discovery tool based on the proposed approach using an unsupervised artificial neural network and empirically evaluated the proposed approach and tool using real Web service descriptions drawn from operational Web service registries. We report on some preliminary results demonstrating the efficacy of the proposed approach.
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