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A Semantic Similarity Framework Exploiting Multiple Parts-of Speech

  • Giuseppe Pirró
  • Jérôme Euzenat
Part of the Lecture Notes in Computer Science book series (LNCS, 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.

Keywords

Semantic Similarity Feature Based Similarity Ontologies Synonymy detection 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Giuseppe Pirró
    • 1
  • Jérôme Euzenat
    • 1
  1. 1.INRIA Grenoble Rhône-Alpes & LIGMontbonnotFrance

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