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A novel architecture is presented for the matching of Web-services based on the extraction of interpretation graphs from natural language text. The graphs of candidate services are compared to that of the query using a numerical node-node similarity calculation based on the structure of the graphs. The similarity score of their best alignment with the query may then be used to rank the candidates.
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...
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