ASeMatch: a semantic matching method

Authors:
Sandra Roger;Augustina Buccella;Alejandra Cechich;Manuel Sanz Palomar
Affiliations:
Natural Language Processing and Information Systems Group, Department of Software and Computing Systems, University of Alicante, Spain;GIISCO Research Group, Department of Computing Sciences, University of Comahue, Argentina;GIISCO Research Group, Department of Computing Sciences, University of Comahue, Argentina;Natural Language Processing and Information Systems Group, Department of Software and Computing Systems, University of Alicante, Spain
Venue:
TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue
Year:
2006

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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.