Name
Abstract | ||
|---|---|---|
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 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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-08590-6_13 | DATA INTEGRATION IN THE LIFE SCIENCES, DILS 2014 |
Field | DocType | Volume |
Query optimization,Web search query,Data mining,RDF query language,Query language,Information retrieval,Query expansion,Computer science,Sargable,Web query classification,Ranking (information retrieval),Database | Conference | 8574 |
ISSN | Citations | PageRank |
0302-9743 | 3 | 0.40 |
References | Authors | |
13 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bryan Brancotte | 1 | 21 | 3.40 |
| Bastien Rance | 2 | 3 | 0.40 |
| Alain Denise | 3 | 3 | 0.40 |
| Sarah Cohen Boulakia | 4 | 3 | 0.40 |