Improvement of a retrieval and f iltering systems by an automatic multi words extraction tool

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dc.citation.epage07fr_FR
dc.citation.spage01fr_FR
dc.contributor.authorNouali, Omar
dc.contributor.authorKrinah, Abdelghani
dc.date.accessioned2014-02-02T11:54:22Z
dc.date.available2014-02-02T11:54:22Z
dc.date.issued2006-04
dc.description.abstractThe role of all retrieval systems consists in finding documents (or document excerpts) that best answer an information need. This need, whether precise and instant (a request) or general and long term (a profile), is most often expre ssed by a list of entities called terms. The goal of this article is to present an automatic mu lti words recognition and extraction tool, compiled from text extracts, in order to build a thesaurus, or terminological basis, useful by search engines and filtering systems in order to boost their performances.fr_FR
dc.identifier.issn9957-8592-0-x
dc.identifier.urihttp://dl.cerist.dz/handle/CERIST/585
dc.publisherGhassan Issa, General Chairfr_FR
dc.relation.ispartofThe 4th International Multiconference on Computer Science and Information Technology 5th – 7th, April 2006.fr_FR
dc.relation.placeAmman-Jordanfr_FR
dc.rights.holderScience Private University, Amman Jordan 2006fr_FR
dc.subjectMulti wordsfr_FR
dc.subjectRetrieval systemfr_FR
dc.subjectAutomatic extractionfr_FR
dc.subjectTerminologyfr_FR
dc.titleImprovement of a retrieval and f iltering systems by an automatic multi words extraction toolfr_FR
dc.typeConference paper
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