Wikipedia-based Semantic Query Enrichment

Mohannad Almasri 1 Catherine Berrut 2 Jean-Pierre Chevallet 1
1 LIG - Laboratoire d'Informatique de Grenoble
2 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 : We deal, in this paper, with the short queries (containing one or two words) problem. Short queries have sufficient information to express their semantics in a non-ambiguous way. Pseudo-relevance feedback (PRF) approach for query expansion is useful in many Information Retrieval (IR) tasks. However, this approach does not work well in the case of very short queries. Therefore, we present instead of PRF a semantic query enrichment method based on Wikipedia. This method expands short queries by semantically related terms extracted from Wikipedia. Our experiments on cultural heritage corpora show significant improvement in the retrieval performance.
Mots-clés : information retrieval query expansion semantic query enrichment
Type de document :
Communication dans un congrès
Proceedings of the Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval, 2013, New York, NY, United States. ACM, pp.5--8, 2013, ESAIR '13
Liste complète des métadonnées
https://hal.inria.fr/hal-00953076
Contributeur : Marie-Christine Fauvet <>
Soumis le : vendredi 28 février 2014 - 10:30:46
Dernière modification le : mercredi 7 novembre 2018 - 13:42:02

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  • HAL Id : hal-00953076, version 1

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Mohannad Almasri, Catherine Berrut, Jean-Pierre Chevallet. Wikipedia-based Semantic Query Enrichment. Proceedings of the Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval, 2013, New York, NY, United States. ACM, pp.5--8, 2013, ESAIR '13. 〈hal-00953076〉

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