A Concept Planning Algorithm for Pragmatics Web Service Discovery

In order to better make an agreement on both the discovery results of Semantic Web services and the intentions of the service requester, advance the accurate rate of service discovery, and improve the automation performance in service discovery and selection. We add the context knowledge of service provider and requester to service representation, and employ the planning method to achieve the understanding for the private ontology concepts between service participants. Experiments using the standard services test sets show that the performance of service discovery is improved significantly, though the time of discovery is delayed. Especially, when domain ontologies which are used to describe concerning services have many semantics difference, the result of discovering services is more precise. The innovations of this paper are to propose a semantics concept model for the Pragmatics Web service and a service discovery algorithm based concept planning understanding.