An Extended Matching Method for Semantic Web Service in Collaboration Environment

The emerging semantic web service provides a promising way to address the challenge of building collaborative design system over heterogeneous resources. Efficient services discovery method is a significant challenge for semantic web service. This paper proposes a semantic web service matching algorithm based not only on functions of services but also the world state related to services which is most important for web service in collaboration environment. Functions matching make sure that the selected services can fulfill the tasks users required, while the state matching can make sure that the selected services are executable and applying the selected services achieves the desired effects.