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Automatic Lexical Annotation Applied to the SCARLET Ontology Matcher

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Intelligent Information and Database Systems (ACIIDS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5991))

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Abstract

This paper proposes lexical annotation as an effective method to solve the ambiguity problems that affect ontology matchers. Lexical annotation associates to each ontology element a set of meanings belonging to a semantic resource. Performing lexical annotation on the ontologies involved in the matching process allows to detect false positive mappings and to enrich matching results by adding new mappings (i.e. lexical relationships between elements on the basis of the semantic relationships holding among meanings).

The paper will go through the explanation of how to apply lexical annotation on the results obtained by a matcher. In particular, the paper shows an application on the SCARLET matcher.

We adopt an experimental approach on two test cases, where SCARLET was previously tested, to investigate the potential of lexical annotation. Experiments yielded promising results, showing that lexical annotation improves the precision of the matcher.

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Author information

Authors and Affiliations

  1. DII, University of Modena and Reggio Emilia, Italy

    Laura Po & Sonia Bergamaschi

Authors
  1. Laura Po
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  2. Sonia Bergamaschi
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Editor information

Editors and Affiliations

  1. Institute of Informatics, Wroclaw University of Technology, Str. Wyb. Wyspianskiego 27, 50-370, Poland

    Ngoc Thanh Nguyen

  2. Hue University, Str. Le Loi 3, Hue City, Vietnam

    Manh Thanh Le

  3. Faculty of Computer Science and Management, Wroclaw University of Technology, Str. Lukasiewicza, 50-370, Wroclaw, Poland

    Jerzy Świątek

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Po, L., Bergamaschi, S. (2010). Automatic Lexical Annotation Applied to the SCARLET Ontology Matcher. In: Nguyen, N.T., Le, M.T., Świątek, J. (eds) Intelligent Information and Database Systems. ACIIDS 2010. Lecture Notes in Computer Science(), vol 5991. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12101-2_16

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  • DOI: https://doi.org/10.1007/978-3-642-12101-2_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12100-5

  • Online ISBN: 978-3-642-12101-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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