Semantic Web Service Selection Using Particle Swarm Optimization (Pso)
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2013 by IJETT Journal|
|Year of Publication : 2013|
|Authors : S.K.Yaamini , I.Suganya|
S.K.Yaamini , I.Suganya. "Semantic Web Service Selection Using Particle Swarm Optimization (Pso) ". International Journal of Engineering Trends and Technology (IJETT). V4(4):603-607 Apr 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
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 Swa rm Optimization (PSO) Algorithm in ontology repository to discover selected services. Our prop osed 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/user s to find semantic service from heterogeneous database and imp roves interoperatability , reasoning support and user - centricity. Reliability of service selection ar e evaluated based on the parameters search Time and memory accessing time
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Semantic Web (SW), Ontology Repository (OR) , Swarm Partcle Optimizatio n (PSO) Algorithm, World Wide Web (WWW ); Web Ontology Language (OWL); Resource Description Framework (RDF)