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

Abstract : 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. \textcopyright Springer International Publishing Switzerland 2014.
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https://hal-univ-pau.archives-ouvertes.fr/hal-01909110
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Submitted on : Tuesday, October 30, 2018 - 6:39:49 PM
Last modification on : Wednesday, March 4, 2020 - 1:43:22 AM

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Davide Buscaldi, Marie-Noelle Bessagnet, Albert Royer, Christian Sallaberry. Using the Semantics of Texts for Information Retrieval: A Concept- and Domain Relation-Based Approach. New Trends in Databases and Information Systems, 17th East European Conference on Advances in Databases and Information Systems, ADBIS 2013, Genoa, Italy, September 1-4, 2013. Proceedings II, Sep 2013, Genoa, Italy. pp.257--266, ⟨10.1007/978-3-319-01863-8_28⟩. ⟨hal-01909110⟩

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