Reengineering Semantic Web Service Composition in a Mobile Environment

Abstract

Reengineering the web service composition is an immediate need in the current Internet scenario as it experiences a spectacular increase in the number of available web services. To satisfy the user query, composition of web services is required which involves semantic matching and syntactic mapping. This paper proposes a technique which extends the semantic matching with evaluation of QoS properties using an Evolutionary computing technique, Particle Swarm Optimization to obtain both relevant and qualified services. A mobile management system which has an automatic ticket booking for an open air show and restaurant booking facility based on dynamically determined weather condition is considered as a case study.