Semantic Web Service Selection Using Particle Swarm Optimization (Pso)
نویسندگان
چکیده
Service selection is a major constraint to discover and deliver services in a user friendly manner. In our system, we are enhancing and evaluating reliability of service discovery by adapting Particle Swarm Optimization (PSO) Algorithm in ontology repository to discover selected services. Our proposed technique is useful for ordinary search as well as semantic search corresponding to the service request using ontology repository. Here, the ontologies are reposited in ontology repository based on some set of concepts related with the domain knowledge. The knowledge provided by ontology repository helps service requestors/users to find semantic service from heterogeneous database and improves interoperatability, reasoning support and user-centricity. Reliability of service selection are evaluated based on the parameters search Time and memory accessing time Keywords— Semantic Web (SW), Ontology Repository (OR), Swarm Partcle Optimization (PSO) Algorithm, World Wide Web (WWW); Web Ontology Language (OWL); Resource Description Framework (RDF)
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