Heterogeneous Service Selection using Evolutionary Algorithm in SOA’s Repository

Ontology acts as a backbone for every semantic web applications. Service selection is a major constraint to discover and deliver services in a user friendly way. In this system, we are enhancing and evaluating reliability, availability and consistency of service discovery by adapting Genetic Algorithm (GA) in ontology repository to discover selected services .The proposed technique is useful for the normal search as well as semantic search according to the service request using ontology repository. In this system, the ontologies are reposited in ontology repository based on some set of concepts and their interrelationships relevant to domain knowledge. The knowledge provided by ontology repository helps service requestors/user to find semantic service from heterogeneous database and improves interoperatability and user-centricity. The reliability of service discovery can be evaluated based on two parameters such as execution time and memory processing and graph also plotted by comparing the execution time and processing memory of server with ontology repository