DocMining: a cooperative platform for heterogeneous document interpretation according to user-defined scenarios

Eric Clavier Gérald Masini 1 Eric Delalandre 2 Maurizio Rigamonti 3 Karl Tombre 1 Joël Gardes
1 QGAR - Querying Graphics through Analysis and Recognition
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
2 UNIROUEN - Université de Rouen Normandie
3 Albert-Ludwigs-Universität Freiburg
Abstract : The DocMining platform is aimed at providing a general framework for document interpretation. It integrates document processing units coming from different sources and communicating through the document being interpreted. A task to be performed is represented by a scenario that describes the units to be run, and each unit is associated with a contract that describes the parameters, data and results of the unit as well as the way to run it. A controller interprets the scenario and triggers each required document processing unit at its turn. Documents, scenarios and contracts are all represented in XML, to make data manipulation and communications easier.
Mots-clés : analyse de document software environment document analysis plate-forme logiciel
Type de document :
Chapitre d'ouvrage
J. Llados and Y. B. Kwon. Graphics Recognition: Recent Advances and Perspectives - Selected papers from GREC'03 Fifth IAPR International Workshop on Graphics Recognition, Springer Verlag, pp.13-24, 2004, Lecture Notes in Computer Science
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https://hal.inria.fr/inria-00099948
Contributeur : Publications Loria <>
Soumis le : mardi 26 septembre 2006 - 10:12:52
Dernière modification le : mardi 10 avril 2018 - 01:53:11

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  • HAL Id : inria-00099948, version 1

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INRIA | COMUE-NORMANDIE | LORIA | UNIV-LORRAINE

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Eric Clavier, Gérald Masini, Eric Delalandre, Maurizio Rigamonti, Karl Tombre, et al.. DocMining: a cooperative platform for heterogeneous document interpretation according to user-defined scenarios. J. Llados and Y. B. Kwon. Graphics Recognition: Recent Advances and Perspectives - Selected papers from GREC'03 Fifth IAPR International Workshop on Graphics Recognition, Springer Verlag, pp.13-24, 2004, Lecture Notes in Computer Science. 〈inria-00099948〉

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