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Conceptual framework for semantic web service composition

A conceptual framework has been designed to compose the services based on the functional and the nonfunctional aspects. The proposed method uses Ontology based approach which provides the facility to specify the semantics of web services and their functionalities in a machine processable manner. The efficiency of the discovery process can be boosted up if the services are functionally categorized in to clusters. So, the categorization of the services is performed using Hierarchical clustering algorithm. The bipartite graph has been used as a matchmaking algorithm to semantically discover the services. The discovered services are selected based on fuzzy topsis. Finally the plan generation is performed based on progression casual link matrix algorithm. The Particle Swarm Optimization algorithm is used to select the generated plans and the optimal is executed.