Représentation des données en XML pour l'analyse d'images de documents
Identifieur interne : 000158 ( Hal/Curation ); précédent : 000157; suivant : 000159Représentation des données en XML pour l'analyse d'images de documents
Auteurs : Abdel Belaïd [France] ; Yves Rangoni [France] ; Ingrid Flak [France]Source :
Abstract
This paper presents the use of XML format for document modelling and describing the results of document analysis and recognition steps. We have chosen ALTO for physical structure stemmed from OCR, TEI for logical structures and METS for the relationships between both. As the system tools representations are not homogeneous, we have proposed a series of XSL transforms for harmonization. The experiments performed on two kinds of documents: scientific with a macro-structure and historical with micro-structures show how this standard choice can maintain the coherence of data along all the processing chain.
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Hal:inria-00618529Le document en format XML
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CS 25233 - 54052 Nancy cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-lorraine.fr/</ref></desc></org></tutelle><tutelle name="UMR7503" active="#struct-441569" type="indirect"><org type="institution" xml:id="struct-441569" status="VALID"><idno type="IdRef">02636817X</idno><idno type="ISNI">0000000122597504</idno><orgName>Centre National de la Recherche Scientifique</orgName><orgName type="acronym">CNRS</orgName><date type="start">1939-10-19</date><desc><address><country key="FR"></country></address><ref type="url">http://www.cnrs.fr/</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><settlement type="city">Metz</settlement><region type="region" nuts="2">Lorraine</region></placeName><orgName type="university">Université de Lorraine</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This paper presents the use of XML format for document modelling and describing the results of document analysis and recognition steps. We have chosen ALTO for physical structure stemmed from OCR, TEI for logical structures and METS for the relationships between both. As the system tools representations are not homogeneous, we have proposed a series of XSL transforms for harmonization. The experiments performed on two kinds of documents: scientific with a macro-structure and historical with micro-structures show how this standard choice can maintain the coherence of data along all the processing chain.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="fr">Représentation des données en XML pour l'analyse d'images de documents</title><author role="aut"><persName><forename type="first">Abdel</forename><surname>Belaïd</surname></persName><email>abelaid@loria.fr</email><idno type="halauthor">52834</idno><affiliation ref="#struct-2362"></affiliation></author><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">Ingrid</forename><surname>Flak</surname></persName><email></email><idno type="halauthor">638182</idno><orgName ref="#struct-206040"></orgName><affiliation ref="#struct-35123"></affiliation></author><editor role="depositor"><persName><forename>Abdel</forename><surname>Belaid</surname></persName><email>abelaid@loria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2011-09-02 09:34:44</date><date type="whenModified">2015-09-22 01:13:11</date><date type="whenReleased">2011-09-02 09:34:44</date><date type="whenProduced">2007-07-02</date></edition><respStmt><resp>contributor</resp><name key="113588"><persName><forename>Abdel</forename><surname>Belaid</surname></persName><email>abelaid@loria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00618529</idno><idno type="halUri">https://hal.inria.fr/inria-00618529</idno><idno type="halBibtex">belaid:inria-00618529</idno><idno type="halRefHtml">Conférence Internationale sur l'Ecrit et le Document, Jul 2007, Nancy, France. 2007</idno><idno type="halRef">Conférence Internationale sur l'Ecrit et le Document, Jul 2007, Nancy, France. 2007</idno></publicationStmt><seriesStmt><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="UNIV-NANCY1">Université Henri Poincaré - Nancy I</idno><idno type="stamp" n="UNIV-NANCY2">Université Nancy II</idno><idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno><idno type="stamp" n="LABO-LORIA-SET" p="LORIA">LABO-LORIA-SET</idno><idno type="stamp" n="LORIA2">Publications du LORIA</idno><idno type="stamp" n="INRIA-NANCY-GRAND-EST">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LORIA-TALC" p="LORIA">Traitement automatique des langues et des connaissances</idno><idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno><idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno><idno type="stamp" n="INRIA-LORRAINE">INRIA Nancy - Grand Est</idno><idno type="stamp" n="INRIA_TEST">INRIA - Institut National de Recherche en Informatique et en Automatique</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">Représentation des données en XML pour l'analyse d'images de documents</title><author role="aut"><persName><forename type="first">Abdel</forename><surname>Belaïd</surname></persName><email>abelaid@loria.fr</email><idno type="halAuthorId">52834</idno><affiliation ref="#struct-2362"></affiliation></author><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">Ingrid</forename><surname>Flak</surname></persName><idno type="halAuthorId">638182</idno><orgName ref="#struct-206040"></orgName><affiliation ref="#struct-35123"></affiliation></author></analytic><monogr><meeting><title>Conférence Internationale sur l'Ecrit et le Document</title><date type="start">2007-07-02</date><date type="end">2007-04-04</date><settlement>Nancy</settlement><country key="FR">France</country></meeting><imprint><date type="datePub">2007</date></imprint></monogr></biblStruct></sourceDesc><profileDesc><langUsage><language ident="fr">French</language></langUsage><textClass><classCode scheme="halDomain" n="info.info-tt">Computer Science [cs]/Document and Text Processing</classCode><classCode scheme="halTypology" n="COMM">Conference papers</classCode></textClass><abstract xml:lang="en">This paper presents the use of XML format for document modelling and describing the results of document analysis and recognition steps. We have chosen ALTO for physical structure stemmed from OCR, TEI for logical structures and METS for the relationships between both. As the system tools representations are not homogeneous, we have proposed a series of XSL transforms for harmonization. The experiments performed on two kinds of documents: scientific with a macro-structure and historical with micro-structures show how this standard choice can maintain the coherence of data along all the processing chain.</abstract><abstract xml:lang="fr">Nous présentons dans cet article l'utilisation du standard XML à la fois pour représenter les modèles de documents ainsi que pour décrire les résultats des différentes étapes de reconnaissance. Notre choix s'est porté sur ALTO pour la structure physique issue des OCR, sur la TEI pour la représentation de la structure logique reconnue par un système dédié, et enfin sur METS pour coordonner les deux dernières. Ne voulant pas toucher aux représentations internes des outils existants, nous avons proposé des transformations type XSL pour dériver ces formats XML. Les expérimentations menées à la fois sur la reconnaissance de documents modernes au niveau macro-structurel et sur des documents anciens au niveau micro-structurel montrent comment ce choix d'association permet de conserver les données cohérentes tout au long du processus mais aussi de proposer un résultat de rétro-conversion accessible, standardisé et pérenne.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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