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A Semantic Similarity Framework Exploiting Multiple Parts-of Speech

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On the Move to Meaningful Internet Systems, OTM 2010 (OTM 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6427))

Abstract

Semantic similarity between words aims at establishing resemblance by interpreting the meaning of the words being compared. The Semantic Web can benefit from semantic similarity in several ways: ontology alignment and merging, automatic ontology construction, semantic-search, to cite a few. Current approaches mostly focus on computing similarity between nouns. The aim of this paper is to define a framework to compute semantic similarity even for other grammar categories such as verbs, adverbs and adjectives. The framework has been implemented on top of WordNet. Extensive experiments confirmed the suitability of this approach in the task of solving English tests.

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Author information

Authors and Affiliations

  1. INRIA Grenoble Rhône-Alpes & LIG, Montbonnot, France

    Giuseppe Pirró & Jérôme Euzenat

Authors
  1. Giuseppe Pirró
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  2. Jérôme Euzenat
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Editor information

Editors and Affiliations

  1. STAR Lab, Vrije Universiteit Brussel (VUB), Bldg G/10, Pleinlaan 2, 1050, Brussels, Belgium

    Robert Meersman

  2. DEBII - CBS, Curtin University of Technology, De Laeter Way, 6102, Bentley, WA, Australia

    Tharam Dillon

  3. Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo S/N, 28660, Boadilla del Monte, Madrid, Spain

    Pilar Herrero

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Pirró, G., Euzenat, J. (2010). A Semantic Similarity Framework Exploiting Multiple Parts-of Speech. In: Meersman, R., Dillon, T., Herrero, P. (eds) On the Move to Meaningful Internet Systems, OTM 2010. OTM 2010. Lecture Notes in Computer Science, vol 6427. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16949-6_33

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  • DOI: https://doi.org/10.1007/978-3-642-16949-6_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16948-9

  • Online ISBN: 978-3-642-16949-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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