Conception d'un outil d'aide à l'indexation de ressources pédagogiques - Extraction automatique des thématiques et des mots-clefs de documents UNIT
Identifieur interne : 000510 ( Hal/Checkpoint ); précédent : 000509; suivant : 000511Conception d'un outil d'aide à l'indexation de ressources pédagogiques - Extraction automatique des thématiques et des mots-clefs de documents UNIT
Auteurs : Carlo Abi Chahine [France] ; Jean-Philippe Kotowicz [France] ; Nathalie Chaignaud [France] ; Jean-Pierre Pécuchet [France]Source :
Descripteurs français
Abstract
Indexing learning documents using the Learning Object Metadata (LOM) is often carried out manually by archivists. Filling out the LOM fields is a long and difficult task, requiring a complete reading and a full knowledge on the topic dealt within the document. In this paper, we present an innovative model and method to assist the archivists in finding the important concepts and keywords of a learning document. The application is performed using wikipedia's category links.
Url:
Links toward previous steps (curation, corpus...)
Links to Exploration step
Hal:hal-00439213Le document en format XML
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76821 Mont-Saint-Aignan</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-rouen.fr/</ref></desc></org></tutelle><tutelle active="#struct-301288" type="direct"><org type="department" xml:id="struct-301288" status="VALID"><orgName>Institut National des Sciences Appliquées - Rouen</orgName><orgName type="acronym">INSA Rouen</orgName><desc><address><country key="FR"></country></address></desc><listRelation><relation active="#struct-301232" type="direct"></relation></listRelation></org></tutelle><tutelle active="#struct-301232" type="indirect"><org type="institution" xml:id="struct-301232" status="VALID"><orgName>Institut National des Sciences Appliquées</orgName><orgName type="acronym">INSA</orgName><desc><address><country key="FR"></country></address></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Le Havre</settlement><region type="region" nuts="2">Région Normandie</region><region type="old region" nuts="2">Haute-Normandie</region></placeName><orgName type="university">Université du Havre</orgName><placeName><settlement type="city">Rouen</settlement><region type="region" nuts="2">Région Normandie</region><region type="old region" nuts="2">Haute-Normandie</region></placeName><orgName type="university">Université de Rouen</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="fr"><term>Indexation automatique et semi-automatique</term><term>LOM</term><term>extraction de mots-clefs</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Indexing learning documents using the Learning Object Metadata (LOM) is often carried out manually by archivists. Filling out the LOM fields is a long and difficult task, requiring a complete reading and a full knowledge on the topic dealt within the document. In this paper, we present an innovative model and method to assist the archivists in finding the important concepts and keywords of a learning document. The application is performed using wikipedia's category links.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="fr">Conception d'un outil d'aide à l'indexation de ressources pédagogiques - Extraction automatique des thématiques et des mots-clefs de documents UNIT</title><author role="aut"><persName><forename type="first">Carlo</forename><surname>Abi Chahine</surname></persName><email>carlo.abi-chahine@insa-rouen.fr</email><idno type="halauthor">452873</idno><affiliation ref="#struct-23832"></affiliation></author><author role="aut"><persName><forename type="first">Jean-Philippe</forename><surname>Kotowicz</surname></persName><email>jean-philippe.kotowicz@insa-rouen.fr</email><idno type="halauthor">450956</idno><affiliation ref="#struct-23832"></affiliation></author><author role="aut"><persName><forename type="first">Nathalie</forename><surname>Chaignaud</surname></persName><email>nathalie.chaignaud@insa-rouen.fr</email><idno type="idhal">nathalie-chaignaud</idno><idno type="halauthor">450955</idno><affiliation ref="#struct-23832"></affiliation></author><author role="aut"><persName><forename type="first">Jean-Pierre</forename><surname>Pécuchet</surname></persName><email>jean-pierre.pecuchet@insa-rouen.fr</email><idno type="halauthor">46663</idno><affiliation ref="#struct-23832"></affiliation></author><editor role="depositor"><persName><forename>Carlo</forename><surname>Abi Chahine</surname></persName><email>carlo.abi-chahine@insa-rouen.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2009-12-07 17:52:33</date><date type="whenWritten">2009-03-01</date><date type="whenModified">2010-01-22 06:04:12</date><date type="whenReleased">2009-12-07 20:43:15</date><date type="whenProduced">2009-06-23</date><date type="whenEndEmbargoed">2009-12-07</date><ref type="file" target="https://hal.archives-ouvertes.fr/hal-00439213/document"><date notBefore="2009-12-07"></date></ref><ref type="file" subtype="author" n="1" target="https://hal.archives-ouvertes.fr/hal-00439213/file/EIAH09.pdf"><date notBefore="2009-12-07"></date></ref></edition><respStmt><resp>contributor</resp><name key="146020"><persName><forename>Carlo</forename><surname>Abi Chahine</surname></persName><email>carlo.abi-chahine@insa-rouen.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">hal-00439213</idno><idno type="halUri">https://hal.archives-ouvertes.fr/hal-00439213</idno><idno type="halBibtex">abichahine:hal-00439213</idno><idno type="halRefHtml">Environnements Informatiques pour l'Apprentissage Humain, Jun 2009, Le Mans, France. pp.125-132, 2009</idno><idno type="halRef">Environnements Informatiques pour l'Apprentissage Humain, Jun 2009, Le Mans, France. pp.125-132, 2009</idno></publicationStmt><seriesStmt><idno type="stamp" n="SHS">Sciences de l'Homme et de la Société</idno><idno type="stamp" n="TICE">Bibliothèque TICE</idno><idno type="stamp" n="UNIV-ROUEN">Université de Rouen</idno><idno type="stamp" n="UNIV-LEHAVRE">Université du Havre</idno><idno type="stamp" n="INSA-ROUEN">Institut National des Sciences Appliquées de Rouen</idno><idno type="stamp" n="LITIS">Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes</idno><idno type="stamp" n="EIAH">EIAH</idno><idno type="stamp" n="PUBLI-EIAH">Publi-EIAH</idno></seriesStmt><notesStmt><note type="audience" n="2">International</note><note type="invited" n="0">No</note><note type="popular" n="0">No</note><note type="peer" n="1">Yes</note><note type="proceedings" n="1">Yes</note></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="fr">Conception d'un outil d'aide à l'indexation de ressources pédagogiques - Extraction automatique des thématiques et des mots-clefs de documents UNIT</title><author role="aut"><persName><forename type="first">Carlo</forename><surname>Abi Chahine</surname></persName><email>carlo.abi-chahine@insa-rouen.fr</email><idno type="halAuthorId">452873</idno><affiliation ref="#struct-23832"></affiliation></author><author role="aut"><persName><forename type="first">Jean-Philippe</forename><surname>Kotowicz</surname></persName><email>jean-philippe.kotowicz@insa-rouen.fr</email><idno type="halAuthorId">450956</idno><affiliation ref="#struct-23832"></affiliation></author><author role="aut"><persName><forename type="first">Nathalie</forename><surname>Chaignaud</surname></persName><email>nathalie.chaignaud@insa-rouen.fr</email><idno type="idHal">nathalie-chaignaud</idno><idno type="halAuthorId">450955</idno><affiliation ref="#struct-23832"></affiliation></author><author role="aut"><persName><forename type="first">Jean-Pierre</forename><surname>Pécuchet</surname></persName><email>jean-pierre.pecuchet@insa-rouen.fr</email><idno type="halAuthorId">46663</idno><affiliation ref="#struct-23832"></affiliation></author></analytic><monogr><title level="m">Environnements Informatiques pour l'Apprentissage Humain</title><meeting><title>Environnements Informatiques pour l'Apprentissage Humain</title><date type="start">2009-06-23</date><date type="end">2009-06-26</date><settlement>Le Mans</settlement><country key="FR">France</country></meeting><imprint><biblScope unit="pp">125-132</biblScope><date type="datePub">2009</date></imprint></monogr><idno type="arxiv">0912.1294</idno></biblStruct></sourceDesc><profileDesc><langUsage><language ident="fr">French</language></langUsage><textClass><keywords scheme="author"><term xml:lang="fr">LOM</term><term xml:lang="fr">Indexation automatique et semi-automatique</term><term xml:lang="fr">extraction de mots-clefs</term></keywords><classCode scheme="halDomain" n="info.eiah">Computer Science [cs]/Technology for Human Learning</classCode><classCode scheme="halDomain" n="shs.edu">Humanities and Social Sciences/Education</classCode><classCode scheme="halDomain" n="info.info-ir">Computer Science [cs]/Information Retrieval [cs.IR]</classCode><classCode scheme="halTypology" n="COMM">Conference papers</classCode></textClass><abstract xml:lang="en">Indexing learning documents using the Learning Object Metadata (LOM) is often carried out manually by archivists. Filling out the LOM fields is a long and difficult task, requiring a complete reading and a full knowledge on the topic dealt within the document. In this paper, we present an innovative model and method to assist the archivists in finding the important concepts and keywords of a learning document. The application is performed using wikipedia's category links.</abstract><abstract xml:lang="fr">Le Learning Object Metadata (LOM) est le standard incontestable pour l'indexation des ressources pédagogiques. L'indexation de ces ressources en LOM est souvent accomplie manuellement par des documentalistes. Renseigner l'ensemble des champs du LOM d'un document est une tâche difficile et longue, nécessitant habituellement une lecture complète et une connaissance dans le domaine traité. Pour assister le documentaliste, un outil d'aide à l'indexation est nécessaire. Afin de renseigner semi-automatiquement les champs du LOM, une analyse textuelle et structurelle de la ressource doit être accomplie. Dans cet article nous présentons un modèle fondé sur l'analyse textuelle de la ressource, permettant de suggérer aux documentalistes un ensemble de thématiques et de mots-clefs associés à ces thématiques. Pour cela, notre modèle prend en entrée une ressource pédagogique et une base de connaissances. Nous évaluons notre modèle sur un ensemble de documents UNIT en utilisant les liens de catégories Wikipedia comme base de connaissances.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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