Semantic Matching of Web Services Capabilities
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
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ICWS '04 Proceedings of the IEEE International Conference on Web Services
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Searching Service Repositories by Combining Semantic and Ontological Matching
ICWS '05 Proceedings of the IEEE International Conference on Web Services
Exploring Semantic Technologies in Service Matchmakin
ECOWS '05 Proceedings of the Third European Conference on Web Services
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Artificial Intelligence in Medicine
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Most of the current service matchmaking algorithms are based on one presupposition, in which all inputs of a service are indispensable to each output of that service. However, this presupposition does not always hold. This paper analyses this presupposition and argues that it exerts a negative influence on the recall rate and precision to current matchmaking algorithms. A formal service model is then introduced, which extends the service profile of OWL-S. A new service matchmaking algorithm based on the model and semantics is proposed. Compared with other algorithms, the proposed one takes interface dependencies into consideration while performing matchmaking. This algorithm has been applied in a service composition framework called DartFlow. Our experimental data show that this novel service matchmaking outperforms others in terms of the recall rate and precision.