Représentation des données en XML pour l'analyse d'images de documents
Identifieur interne : 000D40 ( Main/Exploration ); précédent : 000D39; suivant : 000D41Représentation 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.
Url:
Affiliations:
- France
- Lorraine
- Metz, Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: 000158
- to stream Hal, to step Curation: 000158
- to stream Hal, to step Checkpoint: 000123
- to stream Main, to step Merge: 000D52
- to stream Main, to step Curation: 000D40
Le 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><affiliations><list><country><li>France</li></country><region><li>Lorraine</li></region><settlement><li>Metz</li><li>Nancy</li></settlement><orgName><li>Institut national polytechnique de Lorraine</li><li>Université Nancy 2</li><li>Université de Lorraine</li></orgName></list><tree><country name="France"><region name="Lorraine"><name sortKey="Belaid, Abdel" sort="Belaid, Abdel" uniqKey="Belaid A" first="Abdel" last="Belaïd">Abdel Belaïd</name></region><name sortKey="Flak, Ingrid" sort="Flak, Ingrid" uniqKey="Flak I" first="Ingrid" last="Flak">Ingrid Flak</name><name sortKey="Rangoni, Yves" sort="Rangoni, Yves" uniqKey="Rangoni Y" first="Yves" last="Rangoni">Yves Rangoni</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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