An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources
IEEE Transactions on Knowledge and Data Engineering
Resource Space Grid: model, method and platform: Research Articles
Concurrency and Computation: Practice & Experience
Web Service Discovery with additional Semantics and Clustering
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Applied Ontology
Clustering Web Services for Automatic Categorization
SCC '09 Proceedings of the 2009 IEEE International Conference on Services Computing
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Semantic Web services facilitate the handling of Web services automatically and precisely with elaborate semantic descriptions for them, which at the same time makes the interactions between them more complicated and time-consuming, and if the number of Web services involved in an task is vast, the time cost is unacceptable. This paper introduce an ontology-based multi-dimension model which organize and manage the Semantic Web services space from different aspects, and different dimensions in it can cooperate each other to locate Web Services needed quickly. This model can improve efficiency by restricting Web Services to be handled in a smaller space and reducing the time of invalid handling to those irrelevant. The implementation mechanism of the model and how to use it to support Web Service discovery and composition are both discussed.