Document retro-conversion for personalized electronic reedition
Identifieur interne : 001D30 ( Hal/Corpus ); précédent : 001D29; suivant : 001D31Document retro-conversion for personalized electronic reedition
Auteurs : Yves Rangoni ; Abdel Belaïd ; André Alusse ; Yves Rangoni ; Hubert Cecotti ; Fady Farah ; Nicolas Gagean ; Dalibor Fiala ; François Rousselot ; Henri VigneSource :
English descriptors
Abstract
In this paper, we propose a generic framework to store, retrieve, transform and present mixed sets of native and virtual documents. We intend to use or to develop specific tools organized in a global architecture, from document analysis and capture, document retrieval and classification-categorization, to full generation of personal sets of documents, corresponding to user's specific needs and profile. The first step concerns document preparation and formal analysis. The second step adds semantic metadata, content indexing, and structure-semantic analysis. The third step helps user for the constitution of personalized documents. Research is based on domain specific large sets of documents, as for example European Union law documents (many millions, many file formats, in twenty official languages).
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Hal:inria-00000369Le document en format XML
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Strasbourg</orgName><orgName type="acronym">INSA Strasbourg</orgName><desc><address><country key="FR"></country></address><ref type="url">http://www.insa-strasbourg.fr/</ref></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></affiliation></author><author><name sortKey="Rousselot, Francois" sort="Rousselot, Francois" uniqKey="Rousselot F" first="François" last="Rousselot">François Rousselot</name><affiliation><hal:affiliation type="laboratory" xml:id="struct-7210" status="INCOMING"><orgName>Laboratoire d' Informatique et d'Intelligence Artificielle</orgName><orgName type="acronym">LIIA</orgName><desc><address><country key="FR"></country></address></desc><listRelation><relation active="#struct-261615" type="direct"></relation><relation active="#struct-301232" type="indirect"></relation></listRelation><tutelles><tutelle active="#struct-261615" type="direct"><org type="department" xml:id="struct-261615" status="VALID"><orgName>Institut National des Sciences Appliquées - Strasbourg</orgName><orgName type="acronym">INSA Strasbourg</orgName><desc><address><country key="FR"></country></address><ref type="url">http://www.insa-strasbourg.fr/</ref></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></affiliation></author><author><name sortKey="Vigne, Henri" sort="Vigne, Henri" uniqKey="Vigne H" first="Henri" last="Vigne">Henri Vigne</name><affiliation><hal:affiliation type="laboratory" xml:id="struct-7498" status="INCOMING"><orgName>EVER TEAM</orgName><desc><address><country key="FR"></country></address></desc><listRelation><relation active="#struct-304991" type="direct"></relation></listRelation><tutelles><tutelle active="#struct-304991" type="direct"><org type="institution" xml:id="struct-304991" status="INCOMING"><orgName>EVER TEAM</orgName><desc><address><country key="FR"></country></address></desc></org></tutelle></tutelles></hal:affiliation></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>OCR combinaison</term><term>document image analysis</term><term>neural network</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In this paper, we propose a generic framework to store, retrieve, transform and present mixed sets of native and virtual documents. We intend to use or to develop specific tools organized in a global architecture, from document analysis and capture, document retrieval and classification-categorization, to full generation of personal sets of documents, corresponding to user's specific needs and profile. The first step concerns document preparation and formal analysis. The second step adds semantic metadata, content indexing, and structure-semantic analysis. The third step helps user for the constitution of personalized documents. Research is based on domain specific large sets of documents, as for example European Union law documents (many millions, many file formats, in twenty official languages).</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">Document retro-conversion for personalized electronic reedition</title><author role="aut"><persName><forename type="first">Yves</forename><surname>Rangoni</surname></persName><email>rangoni@loria.fr</email><idno type="halauthor">59703</idno><affiliation ref="#struct-2362"></affiliation></author><author role="aut"><persName><forename type="first">Abdel</forename><surname>Belaïd</surname></persName><email></email><idno type="halauthor">52807</idno><affiliation ref="#struct-2362"></affiliation></author><author role="aut"><persName><forename type="first">André</forename><surname>Alusse</surname></persName><email></email><idno type="halauthor">59704</idno><affiliation ref="#struct-2362"></affiliation></author><author role="aut"><persName><forename type="first">Yves</forename><surname>Rangoni</surname></persName><email></email><idno type="halauthor">59705</idno><affiliation ref="#struct-2362"></affiliation></author><author role="aut"><persName><forename type="first">Hubert</forename><surname>Cecotti</surname></persName><email>cecotti@loria.fr</email><idno type="halauthor">59676</idno><affiliation ref="#struct-2362"></affiliation></author><author role="aut"><persName><forename type="first">Fady</forename><surname>Farah</surname></persName><email></email><idno type="halauthor">59706</idno><affiliation ref="#struct-7210"></affiliation></author><author role="aut"><persName><forename type="first">Nicolas</forename><surname>Gagean</surname></persName><email></email><idno type="halauthor">59707</idno><affiliation ref="#struct-7210"></affiliation></author><author role="aut"><persName><forename type="first">Dalibor</forename><surname>Fiala</surname></persName><email></email><idno type="halauthor">59708</idno><affiliation ref="#struct-7210"></affiliation></author><author role="aut"><persName><forename type="first">François</forename><surname>Rousselot</surname></persName><email></email><idno type="halauthor">59709</idno><affiliation ref="#struct-7210"></affiliation></author><author role="aut"><persName><forename type="first">Henri</forename><surname>Vigne</surname></persName><email></email><idno type="halauthor">59710</idno><affiliation ref="#struct-7498"></affiliation></author><editor role="depositor"><persName><forename>Yves</forename><surname>Rangoni</surname></persName><email>rangoni@loria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2005-09-27 16:15:34</date><date type="whenModified">2016-05-19 01:05:41</date><date type="whenReleased">2005-09-27 16:15:34</date><date type="whenProduced">2005-03-08</date></edition><respStmt><resp>contributor</resp><name key="103259"><persName><forename>Yves</forename><surname>Rangoni</surname></persName><email>rangoni@loria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00000369</idno><idno type="halUri">https://hal.inria.fr/inria-00000369</idno><idno type="halBibtex">rangoni:inria-00000369</idno><idno type="halRefHtml">Umapada Pal, Swapan K. Parui, Bidyut B. Chaudhuri. International Workshop on Document Analysis, Mar 2005, Kolkata, India, Allied Publishers Pvt. Ltd, 2005</idno><idno type="halRef">Umapada Pal, Swapan K. Parui, Bidyut B. Chaudhuri. International Workshop on Document Analysis, Mar 2005, Kolkata, India, Allied Publishers Pvt. Ltd, 2005</idno></publicationStmt><seriesStmt><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="LORIA2">Publications du LORIA</idno><idno type="stamp" n="LABO-LORIA-SET" p="LORIA">LABO-LORIA-SET</idno><idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno><idno type="stamp" n="LORIA-TALC" p="LORIA">Traitement automatique des langues et des connaissances</idno><idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno><idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno></seriesStmt><notesStmt><note type="audience" n="1">Not set</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="en">Document retro-conversion for personalized electronic reedition</title><author role="aut"><persName><forename type="first">Yves</forename><surname>Rangoni</surname></persName><email>rangoni@loria.fr</email><idno type="halAuthorId">59703</idno><affiliation ref="#struct-2362"></affiliation></author><author role="aut"><persName><forename type="first">Abdel</forename><surname>Belaïd</surname></persName><idno type="halAuthorId">52807</idno><affiliation ref="#struct-2362"></affiliation></author><author role="aut"><persName><forename type="first">André</forename><surname>Alusse</surname></persName><idno type="halAuthorId">59704</idno><affiliation ref="#struct-2362"></affiliation></author><author role="aut"><persName><forename type="first">Yves</forename><surname>Rangoni</surname></persName><idno type="halAuthorId">59705</idno><affiliation ref="#struct-2362"></affiliation></author><author role="aut"><persName><forename type="first">Hubert</forename><surname>Cecotti</surname></persName><email>cecotti@loria.fr</email><idno type="halAuthorId">59676</idno><affiliation ref="#struct-2362"></affiliation></author><author role="aut"><persName><forename type="first">Fady</forename><surname>Farah</surname></persName><idno type="halAuthorId">59706</idno><affiliation ref="#struct-7210"></affiliation></author><author role="aut"><persName><forename type="first">Nicolas</forename><surname>Gagean</surname></persName><idno type="halAuthorId">59707</idno><affiliation ref="#struct-7210"></affiliation></author><author role="aut"><persName><forename type="first">Dalibor</forename><surname>Fiala</surname></persName><idno type="halAuthorId">59708</idno><affiliation ref="#struct-7210"></affiliation></author><author role="aut"><persName><forename type="first">François</forename><surname>Rousselot</surname></persName><idno type="halAuthorId">59709</idno><affiliation ref="#struct-7210"></affiliation></author><author role="aut"><persName><forename type="first">Henri</forename><surname>Vigne</surname></persName><idno type="halAuthorId">59710</idno><affiliation ref="#struct-7498"></affiliation></author></analytic><monogr><meeting><title>International Workshop on Document Analysis</title><date type="start">2005-03-08</date><settlement>Kolkata, India</settlement></meeting><respStmt><resp>conferenceOrganizer</resp><name>Umapada Pal</name></respStmt><editor>Umapada Pal, Swapan K. Parui, Bidyut B. Chaudhuri</editor><imprint><publisher>Allied Publishers Pvt. Ltd</publisher><date type="datePub">2005-03-08</date></imprint></monogr></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><textClass><keywords scheme="author"><term xml:lang="en">document image analysis</term><term xml:lang="en">neural network</term><term xml:lang="en">OCR combinaison</term></keywords><classCode scheme="halDomain" n="info.info-ai">Computer Science [cs]/Artificial Intelligence [cs.AI]</classCode><classCode scheme="halDomain" n="info.info-ar">Computer Science [cs]/Hardware Architecture [cs.AR]</classCode><classCode scheme="halDomain" n="info.info-cv">Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]</classCode><classCode scheme="halDomain" n="info.info-lg">Computer Science [cs]/Machine Learning [cs.LG]</classCode><classCode scheme="halDomain" n="info.info-ne">Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]</classCode><classCode scheme="halTypology" n="COMM">Conference papers</classCode></textClass><abstract xml:lang="en">In this paper, we propose a generic framework to store, retrieve, transform and present mixed sets of native and virtual documents. We intend to use or to develop specific tools organized in a global architecture, from document analysis and capture, document retrieval and classification-categorization, to full generation of personal sets of documents, corresponding to user's specific needs and profile. The first step concerns document preparation and formal analysis. The second step adds semantic metadata, content indexing, and structure-semantic analysis. The third step helps user for the constitution of personalized documents. Research is based on domain specific large sets of documents, as for example European Union law documents (many millions, many file formats, in twenty official languages).</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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