Toward file consolidation by document categorization
Identifieur interne : 005743 ( Main/Merge ); précédent : 005742; suivant : 005744Toward file consolidation by document categorization
Auteurs : Abdel Belaïd [France] ; Andre Alusse [France]Source :
- Lecture notes in computer science [ 0302-9743 ] ; 2006.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Base de données.
English descriptors
- KwdEn :
Abstract
An efficient adaptive document classification and categorization approach is proposed for personal file creation corresponding to user's specific needs and profile. This kind of approach is needed because the search engines are often too general to offer a precise answer to the user request. As we cannot act directly on the search engines methodology, we propose to rather act on the documents retrieved by classifying and ranking them properly. A classifier combination approach is considered. These classifiers are chosen very complementary in order to treat all the query aspects and to present to the user at the end a readable and comprehensible result. The application performed corresponds to the law articles stemmed from the European Union data base. The law texts are always entangled with cross-references and accompanied by some updating files (for application dates, for new terms and formulations). Our approach found here a real application offering to the specialist (jurist, lawyer, etc. ) a synthetic vision of the law related to the topic requested.
Links toward previous steps (curation, corpus...)
- to stream PascalFrancis, to step Corpus: 000356
- to stream PascalFrancis, to step Curation: 000669
- to stream PascalFrancis, to step Checkpoint: 000338
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Pascal:08-0029065Le document en format XML
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applications</orgName><orgName type="university">Université de Lorraine</orgName><orgName type="institution">Centre national de la recherche scientifique</orgName><orgName type="institution">Institut national de recherche en informatique et en automatique</orgName></affiliation></author><author><name sortKey="Alusse, Andre" sort="Alusse, Andre" uniqKey="Alusse A" first="Andre" last="Alusse">Andre Alusse</name><affiliation wicri:level="3"><inist:fA14 i1="01"><s1>LORIA, Campus Scientifique, B.P. 236</s1><s2>Vandoeuvre-Lès-Nancy</s2><s3>FRA</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ></inist:fA14><country>France</country><placeName><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region><settlement type="city">Vandœuvre-lès-Nancy</settlement><settlement type="city" wicri:auto="agglo">Nancy</settlement></placeName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">INIST</idno><idno type="inist">08-0029065</idno><date 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aut.</sZ></inist:fA14><country>France</country><placeName><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region><settlement type="city">Vandœuvre-lès-Nancy</settlement><settlement type="city" wicri:auto="agglo">Nancy</settlement></placeName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="region" nuts="2">Lorraine (région)</region></placeName><orgName type="laboratoire" n="5">Laboratoire lorrain de recherche en informatique et ses applications</orgName><orgName type="university">Université de Lorraine</orgName><orgName type="institution">Centre national de la recherche scientifique</orgName><orgName type="institution">Institut national de recherche en informatique et en automatique</orgName></affiliation></author><author><name sortKey="Alusse, Andre" sort="Alusse, Andre" uniqKey="Alusse A" first="Andre" last="Alusse">Andre Alusse</name><affiliation wicri:level="3"><inist:fA14 i1="01"><s1>LORIA, Campus Scientifique, B.P. 236</s1><s2>Vandoeuvre-Lès-Nancy</s2><s3>FRA</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ></inist:fA14><country>France</country><placeName><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region><settlement type="city">Vandœuvre-lès-Nancy</settlement><settlement type="city" wicri:auto="agglo">Nancy</settlement></placeName></affiliation></author></analytic><series><title level="j" type="main">Lecture notes in computer science</title><idno type="ISSN">0302-9743</idno><imprint><date when="2006">2006</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Lecture notes in computer science</title><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adaptive method</term><term>Consolidation</term><term>Database</term><term>Database query</term><term>Document analysis</term><term>Document management</term><term>Document structure</term><term>Hierarchical classification</term><term>Image processing</term><term>Pattern recognition</term><term>Search engine</term><term>Text</term><term>Updating</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Traitement image</term><term>Reconnaissance forme</term><term>Analyse documentaire</term><term>Structure document</term><term>Moteur recherche</term><term>Interrogation base donnée</term><term>Base de données</term><term>Texte</term><term>Mise à jour</term><term>Consolidation</term><term>Gestion document</term><term>Classification hiérarchique</term><term>Méthode adaptative</term><term>.</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Base de données</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">An efficient adaptive document classification and categorization approach is proposed for personal file creation corresponding to user's specific needs and profile. This kind of approach is needed because the search engines are often too general to offer a precise answer to the user request. As we cannot act directly on the search engines methodology, we propose to rather act on the documents retrieved by classifying and ranking them properly. A classifier combination approach is considered. These classifiers are chosen very complementary in order to treat all the query aspects and to present to the user at the end a readable and comprehensible result. The application performed corresponds to the law articles stemmed from the European Union data base. The law texts are always entangled with cross-references and accompanied by some updating files (for application dates, for new terms and formulations). Our approach found here a real application offering to the specialist (jurist, lawyer, etc. ) a synthetic vision of the law related to the topic requested.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Nancy</li><li>Vandœuvre-lès-Nancy</li></settlement><orgName><li>Centre national de la recherche scientifique</li><li>Institut national de recherche en informatique et en automatique</li><li>Laboratoire lorrain de recherche en informatique et ses applications</li><li>Université de Lorraine</li></orgName></list><tree><country name="France"><region name="Grand Est"><name sortKey="Belaid, Abdel" sort="Belaid, Abdel" uniqKey="Belaid A" first="Abdel" last="Belaïd">Abdel Belaïd</name></region><name sortKey="Alusse, Andre" sort="Alusse, Andre" uniqKey="Alusse A" first="Andre" last="Alusse">Andre Alusse</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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