Abstract
In this paper we present an OWL-S service matchmaker that combines uncorrelated similarity measures for obtaining the services that match a given request. These similarity measures are obtained comparing four of the elements presented in the OWL-S Service Profile: name, description, and the collection of both inputs and outputs of a service and a request. For each of these elements a number of similarity measures can be applied and combined in several formulas in order to obtain a similarity value. Once these measures are calculated a neural network is trained to combine the uncorrelated similarity measures with the purpose of obtaining a degree of the suitability of a given service for a particular request. This matchmaker has been validated in the OWL-S TC v3 service library.
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Sánchez-Vilas, F., Lama, M., Vidal, J.C., Sánchez, E. (2012). Combining Uncorrelated Similarity Measures for Service Discovery. In: Lacroix, Z., Vidal, M.E. (eds) Resource Discovery. RED 2010. Lecture Notes in Computer Science, vol 6799. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27392-6_12
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DOI: https://doi.org/10.1007/978-3-642-27392-6_12
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