Recommend me a Service: Personalized Semantic Web Service Matchmaking

Abstract

In the Semantic Web the discovery of appropriate Semantic Web Services for a given service request, the so-called matchmaking, is a crucial task in order to bring together Web Service provider and users in an automatic manner. While most of the current matchmaking algorithms focus on purely syntactic or semantic similarity or a combination of both (hybrid approaches), the user is not taken into account in the matchmaking process itself. Hence, specific preferences and needs of a user are not taken into account in the matchmaking process. In this paper we show how users can be engaged in the matchmaking process by providing Web 2.0 interaction to collect user feedback. Furthermore, we present the ongoing work of the integration of collaborative filtering algorithms into the matchmaking process to generate personalized matchmaking results.