An Optimal Approach to the QoS-Based WSMO Web Service Composition Using Genetic Algorithm

This paper presents an optimal QoS-based service composition approach to WSMO in helping service requests select services by considering two different contents: reasoning above the matching of semantic linking and GA-based QoS optimization of the WSMO service composition. The experimental results show that the approach being probed in this paper is not only efficient, but also increases availability and reliability of the WSMO service composition.