Vectorial Information Structuring for Documents Filtering and Diffusion

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dc.citation.epage6fr_FR
dc.citation.issue1fr_FR
dc.citation.spage1fr_FR
dc.citation.volume5fr_FR
dc.contributor.authorNouali, Omar
dc.contributor.authorKrinah, Abdelghani
dc.date.accessioned2013-12-04T13:40:26Z
dc.date.available2013-12-04T13:40:26Z
dc.date.issued2008
dc.description.abstractInformation retrieval tries to identify relevant documents for an information need. The problems that an IR system should deal with include document indexing (which tries to extract important content from a document), user needs analysis (similar to document indexing but applied to a query), and their internal representation which makes them suitable for being explicitly manipulated by the corresponding algorithms (i.e., matching the query with the documents). This paper describes a vectorial approach for information organization, and its application to search/retrieval systems from a vast amount of textual datafr_FR
dc.identifier.e-issn2309-4524
dc.identifier.issn1683-3198
dc.identifier.urihttp://dl.cerist.dz/handle/CERIST/456
dc.publisherZarqa Private Universityfr_FR
dc.relation.ispartofThe International Arab Journal of Information Technology (IAJIT)fr_FR
dc.rights.holderZarqa Private Universityfr_FR
dc.subjectVectorial information structuringfr_FR
dc.subjectInformation filteringfr_FR
dc.subjectTerms classificationfr_FR
dc.subjectDocument diffusionfr_FR
dc.titleVectorial Information Structuring for Documents Filtering and Diffusionfr_FR
dc.typeArticle
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