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ASeMatch: A Semantic Matching Method

  • Sandra Roger
  • Augustina Buccella
  • Alejandra Cechich
  • Manuel Sanz Palomar
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4188)

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.

Keywords

Word Sense Disambiguation Syntactic Information Semantic Match Ontology Match Semantic Resource 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Sandra Roger
    • 1
    • 2
  • Augustina Buccella
    • 2
  • Alejandra Cechich
    • 2
  • Manuel Sanz Palomar
    • 1
  1. 1.Natural Language Processing and Information Systems Group, Department of Software and Computing SystemsUniversity of AlicanteSpain
  2. 2.GIISCO Research Group, Department of Computing SciencesUniversity of ComahueArgentina

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