A Novel Matchmaking Approach for Automated Semantic Web Service Discovery

Abstract

With the increasing number of available Web services, the need for a sophisticated discovery mechanism becomes essential. Existing UDDI based discovery techniques fail to recognize similarities and differences between Web service capabilities and thus greatly limit the scope of service discovery. Hence, in this paper we present a framework for discovering the vast amount of Web services present in Internet based on a novel semantic approach to automatically discover the most appropriate services to user requirements. Our framework is based on a natural language query to facilitate usage of our implemented discovery framework. For this purpose, we first apply some computational linguistics techniques such as part-of-speech tagging and word sense disambiguation to format and extract useful semantic information from user query. Then, we propose an innovative semantic matchmaking technique based on significant concepts properties in the referenced domain ontology. The proposed technique is implemented in a prototype system to evaluate our system performance and compare it to a related work. The results obtained demonstrate the effectiveness of our approach.