Context Aware Web Service Discovery using Conceptual Clustering Based UDDI

Current research in Web Service discovery is towards building Context Aware Pervasive Systems that give appropriate results based on users interests, but it is not completely discussed how far the retrieved services are actually relevant to the user. Also, the current context aware systems confine themselves to giving best results for user’s queries based on their profiles, which assume user to query based only on the interests which are listed or acquired by the context sensor. But this system can’t be validated in the cases where users search for services beyond their interests. In this paper we discuss context based on two aspects namely service context and user’s context. Also we discuss how the capabilities of UDDI can be extended to organize Web Services based on Conceptual Clustering so as to provide user with better results. Also we discuss how we achieve relevant services using clustering, context and user chosen QoS. In this paper we introduce an improvised model of COBWEB Algorithm for the incorporation QoS and Clustering Module for Conceptual Clustering.