Semantic Web 2009 - Posters and Demos

• Ranking and optimization of web service compositions are some of the most interesting challenges at present. Since web services can be enhanced with formal semantic descriptions, forming the "semantic web services", it becomes conceivable to exploit the quality of semantic links between services (of any composition) as one of the optimization criteria. For this we propose to use the semantic similarities between output and input parameters of web services. Coupling this with other criteria such as quality of service (QoS) allow us to rank and optimize compositions achieving the same goal. We present the Composition Optimizer tool, using an innovative and extensible optimization model designed to balance semantic fit (or functional quality) with non-functional QoS metrics, in order to optimize service composition. To allow the use of this model in the context of a large number of services as foreseen by the EC-funded project SOA4All we propose and test the use of Genetic Algorithms.