Personalized Web Services Selection

Web services have gained an increasing popularity over the Internet. Because of today's wide variety of services offered to perform a specific task. The task of finding selected Web services to perform a specific task becomes very hard, and it is essential that users are supported in the eventual selection of appropri-ate services. Web services are a great application area for agent techniques and a great substrate for developing serious autonomous agent-based systems to support a personalized Web services selection. In this chapter, we present a Collaborative Autonomous Interface Agent (CALA) that collaborates with the Internet search engines and supports the user in finding exactly the Web services consistent with his/her needs. CAIA system has been designed, fully implemented and tested. As a case study, the testing results show a big improvement in the relevancy of the retrieved results and of the user's satisfaction by using CALA+Google compared to using Google only.