KNOWLEDGE BASED WEB SERVICE

ABSTRACT: Web Services are self described software entities which can be advertised, located and used across the internet using a set of standards such as SOAP, WSDL and UDDI. In order for web services to be able to work well together, they must participate in a set of shared organizing principles known as Service Oriented Architecture (SOA).Service oriented means that the architecture is described and organized to support web service's dynamic, automated description, publication, discovery and use. The number of services published over the internet is growing at an explosive speed. So it is difficult for service requesters to select satisfactory web services, which provide similar functionality. The Quality of service is considered the most important criterion for service filtering. In this paper, the web service description models consider the service QOS information and present an overall web service selection and ranking for fulfilling service requester's functional and non functional requirements. The service selection method is based on particle swarm optimization technique. By using this multi objective Particle swarm optimization technique, a number of QOS values can be optimized at the same time and it ultimately improve the service performance. This method can significantly improve the problem solving speed and reduce the selection complexity