Using the Semantics of Texts for Information Retrieval: A Concept- and Domain Relation-Based Approach

  • Davide Buscaldi
  • Marie-Noëlle Bessagnet
  • Albert Royer
  • Christian Sallaberry
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 241)


Our hypothesis is that assessing the relevance of a document with respect to a query is equivalent to assessing the conceptual similarity between the terms of the query and those of the document. In this article, we therefore propose a method of calculating conceptual similarity. Our information retrieval strategy is based on exploring an ontology and domain relations between concepts marked by verbal forms. Our approach overall is implemented by a prototype and the results obtained are evaluated. We thus show that a semantic IR system based on concepts improves recall with respect to a classic IR system and that a semantic IR system based on concepts and domain relations improves precision with respect to IR based on concepts alone.


information retrieval ontology similarity measure 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Davide Buscaldi
    • 2
  • Marie-Noëlle Bessagnet
    • 1
  • Albert Royer
    • 1
  • Christian Sallaberry
    • 1
  1. 1.LIUPPA, Université de Pau et des des Pays de l’AdourPauFrance
  2. 2.LIPN, Université Paris XIIIVilletaneuseFrance

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