The Tomaco Hybrid Matching Framework for SAWSDL Semantic Web Services

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Provided by: Cornell University
Topic: Software
Format: PDF
In this paper, the authors resolve issues related to Web service retrieval, also known as service selection, discovery or essentially matching, in two directions. Firstly, a novel matching algorithm for SAWSDL is introduced. The algorithm is hybrid in nature, combining novel and known concepts, such as a logic-based strategy and syntactic text-similarity measures on semantic annotations and textual descriptions. A plug-in for the S3 contest environment was developed, in order to position Tomaco amongst state-of-the-art in an objective, reproducible manner. Evaluation showed that Tomaco ranks high amongst state of the art, especially for early recall levels.
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