2014 | OriginalPaper | Buchkapitel
ConQuR-Bio: Consensus Ranking with Query Reformulation for Biological Data
verfasst von : Bryan Brancotte, Bastien Rance, Alain Denise, Sarah Cohen-Boulakia
Erschienen in: Data Integration in the Life Sciences
Verlag: Springer International Publishing
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
This paper introduces ConQuR-Bio which aims at assisting scientists when they query public biological databases. Various reformulations 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 EntrezGene 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
.