Improving Semantic Web Service Discovery

Abstract

Semantic Web Services (SWS) propose to extend the traditional Web Services technologies on the way to consolidate ontologies and semantics. This makes it possible to select, integrate and invocate services dynamically. In this way, services are able to dynamically adapt themselves to changes without human intervention. The main purpose of this paper is to present an algorithm for matching SWS. The algorithm uses the description of the service capabilities to match the semantic values. The traditional matching has been improved using ontologies which constitute a step further in the matching algorithms. To implement the algorithm, an agent FIPA compliant architecture has been designed and developed. The results obtained are positive. The semantic web services framework developed in combination with the use of the matchmaking algorithm, which allows finding services based on their similarities.