Abstract
Usually, syntactic information of different sources does not provide enough knowledge to discover possible matchings among them. Otherwise, more suitable matchings can be found by using the semantics of these sources. In this way, semantic matching involves the task of finding similarities among overlapping sources by using semantic knowledge. In the last years, the ontologies have emerged to represent this semantics. On these lines, we introduce our ASeMatch method for semantic matching. By applying several NLP tools and resources in a novel way and by using the semantic and syntactic information extracted from the ontologies, our method finds complex mappings such as 1–N and N–1 matchings.
This research has been partially funded by the Spanish Government under project CICyT number TIC2003-07158-C04-01 by the Valencia Government under project number GV04B-268, and by the University of Comahue under the project 04/E059 and 04/E062.
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Roger, S., Buccella, A., Cechich, A., Palomar, M.S. (2006). ASeMatch: A Semantic Matching Method. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2006. Lecture Notes in Computer Science(), vol 4188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11846406_29
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DOI: https://doi.org/10.1007/11846406_29
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