An approach for semantic web services automatic discovery and composition with similarity metrics

With the emerging growth of web services tecnology, the Web is now evolving to become a service provider. In this context, the semantic web services discovery and composition are hard tasks because injecting context into adaptive service integration raises a number of significant challenges, i.e. defining effective metrics to manage adaptation. This paper proposes an algorithm for Semantic Web Services discovery and compositon which makes use of similarity metrics.