Semantic Structuring of Specialized Queries to Enhance Precision of an Information Retrieval System Applied to a Technical Domain

Mohannad Almasri 1
1 MRIM - Modélisation et Recherche d’Information Multimédia [Grenoble]
LIG - Laboratoire d'Informatique de Grenoble, Inria - Institut National de Recherche en Informatique et en Automatique
Abstract : This document describes the work made for obtaining master degree in University Joseph Fourier. This work has been accomplished in the MRIM team of LIG laboratory, and talks about semantic structuring queries in ontology based information retrieval systems applied to medical domain. The objective of this work is to study, in the context of conceptual indexing, the influence of query semantic structuring to the precision of information retrieval system. We study an ontology based matching using concepts by applying some variants of language models. We integrate, with this model, our operation of semantic structuring. A validation of our study is made on the test collection CLEF 2011 and the semantic resource UMLS 2011.
Type de document :
Mémoires d'étudiants -- Hal-inria+
Information Retrieval [cs.IR]. 2012
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https://hal.inria.fr/hal-00954084
Contributeur : Marie-Christine Fauvet <>
Soumis le : vendredi 28 février 2014 - 16:12:45
Dernière modification le : jeudi 11 janvier 2018 - 06:22:06

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  • HAL Id : hal-00954084, version 1

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Mohannad Almasri. Semantic Structuring of Specialized Queries to Enhance Precision of an Information Retrieval System Applied to a Technical Domain. Information Retrieval [cs.IR]. 2012. 〈hal-00954084〉

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