Structured NL Representation for Bridging the Knowledge Gap in Semantic Web Services

The traditional "publish-find- bind" architecture for web services paid little attention to the problem of communication and knowledge sharing between the service providers and the service consumers. This problem is very important because, in order to discover required services effectively and efficiently, the consumers need to know more about the published services. We should consider how customers represent their requirements and how service providers represent their services, and hence to bridge the knowledge gap between the service providers and the service consumers. This paper investigates the use of structured description and representation of natural language in the matchmaking of web-services with customer requirements. A semantic framework for the representation of such descriptions is motivated based upon the limitations of current approaches. A matchmaking algorithm is given along with a concrete example of how the matchmaking process may be applied.