ConQuR-Bio: Consensus Ranking with Query Reformulation for Biological Data

This paper introduces ConQuR-Bio which aims at assisting scientists when they query public biological databases. Various reformu-lations of the user query are generated using medical terminologies. Such alternative reformulations are then used to rank the query results using a new consensus ranking strategy. The originality of our approach thus lies in using consensus ranking techniques within the context of query reformulation. The ConQuR-Bio system is able to query the Entrez-Gene NCBI database. Our experiments demonstrate the benefit of using ConQuR-Bio compared to what is currently provided to users. ConQuR-Bio is available to the bioinformatics community at http://conqur-bio.lri.fr.

Domaines

Bio-informatique [q-bio.QM]

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DILS-BrancotteEtAl.pdf (998.03 Ko)

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Sarah Cohen-Boulakia : Connectez-vous pour contacter le contributeur

https://inria.hal.science/hal-01091053

Soumis le : jeudi 4 décembre 2014-15:18:53

Dernière modification le : vendredi 19 avril 2024-16:18:58

Archivage à long terme le : samedi 15 avril 2017-04:01:09

Dates et versions

hal-01091053 , version 1 (04-12-2014)

Identifiants

HAL Id : hal-01091053 , version 1
DOI : 10.1007/978-3-319-08590-6_13

Citer

Bryan Brancotte, Bastien Rance, Alain Denise, Sarah Cohen-Boulakia. ConQuR-Bio: Consensus Ranking with Query Reformulation for Biological Data. 10th International Conference, Data Integration in the Life Sciences, Jul 2014, Lisbon, Portugal. pp.128 - 142, ⟨10.1007/978-3-319-08590-6_13⟩. ⟨hal-01091053⟩

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