Using Semantic Web Services to Automatically attend to Educational Requests

Abstract: With the emerging growth of Web Services technology, the Web is now evolving to become a service provider. In this context, a major challenge is the Semantic Web Services discovery and composition problem. This task is hard because injecting context into adaptive service integration and management raises a number of significant difficulties, i.e. defining and using effective and practical metrics to manage adaptation in terms of comparing ability of different services to adapt. This paper proposes an algorithm for Semantic Web Services discovery and composition that uses similarity metrics to achieve such goals. Additionally, an illustrative scenario in the context of education is presented to demonstrate the use of the proposed approach.

2009