DocMining: A Cooperative Platform for Heterogeneous Document Interpretation According to User-Defined Scenarios

Eric Clavier; Gérald Masini; Mathieu Delalandre; Maurizio Rigamonti; Karl Tombre; Joël Gardes

inria-00107653, version 1

DocMining: A Cooperative Platform for Heterogeneous Document Interpretation According to User-Defined Scenarios

Eric Clavier^a^, 1, Gérald Masini^b^, 2, Mathieu Delalandre^c^, 3, Maurizio Rigamonti^d^, 4, Karl Tombre ()^e^, 2, Joël Gardes^a^, 1

5th IAPR International Workshop on Graphics Recognition (2003) 21-32

Résumé : This paper describes the DocMining platform, that is aimed at providing a general framework for document interpretation. The platform integrates processings that come from different sources and that communicate through the document. A task to be performed is represented by a scenario that describes the processings to be run, and each processing is associated with a contract that describes the parameters, data and results of the processing as well as the way it has to be run. A controller interprets the scenario and triggers each required processing at its turn. The architecture of the platform is flexible enough to allow users to create their own objects, integrate their own processings into the platform, design their own interfaces and define their own scenarios. All data (documents, scenarios, contracts, etc.) are represented in XML, to facilitate data manipulation and communication inside the platform.

a – FRANCE TELECOM
b – CNRS
c – UNIVERSITE DE ROUEN
d – UNIVERSITE DE FRIBOURG
e – INPL
1 : R&D DIH/EQS (FRANCE TéLéCOM)
Aucune
2 : QGAR (INRIA Lorraine - LORIA)
INRIA – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL) – CNRS : UMR7503
3 : Université de Rouen
Université de Rouen
4 : Université de Fribourg
Université de Fribourg

inria-00107653, version 1
http://hal.inria.fr/inria-00107653
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Contributeur : Publications Loria <>
Soumis le : Jeudi 19 Octobre 2006, 09:04:04
Dernière modification le : Vendredi 20 Octobre 2006, 15:32:31

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%% inria-00107653, version 1
%% http://hal.inria.fr/inria-00107653
@inproceedings{clavier:inria-00107653,
    hal_id = {inria-00107653},
    url = {http://hal.inria.fr/inria-00107653},
    title = {{DocMining: A Cooperative Platform for Heterogeneous Document Interpretation According to User-Defined Scenarios}},
    author = {Clavier, Eric and Masini, G{\'e}rald and Delalandre, Mathieu and Rigamonti, Maurizio and Tombre, Karl and Gardes, Jo{\"e}l},
    abstract = {{This paper describes the DocMining platform, that is aimed at providing a general framework for document interpretation. The platform integrates processings that come from different sources and that communicate through the document. A task to be performed is represented by a scenario that describes the processings to be run, and each processing is associated with a contract that describes the parameters, data and results of the processing as well as the way it has to be run. A controller interprets the scenario and triggers each required processing at its turn. The architecture of the platform is flexible enough to allow users to create their own objects, integrate their own processings into the platform, design their own interfaces and define their own scenarios. All data (documents, scenarios, contracts, etc.) are represented in XML, to facilitate data manipulation and communication inside the platform.}},
    keywords = {document; system; platform; software; graphics recognition || document; syst{\`e}me; plateforme; logiciel; reconnaissance de graphique},
    language = {Anglais},
    affiliation = {R\&D DIH/EQS - FRANCE T{\'e}L{\'e}COM , QGAR - INRIA Lorraine - LORIA , Universit{\'e} de Rouen , Universit{\'e} de Fribourg},
    booktitle = {{5th IAPR International Workshop on Graphics Recognition}},
    publisher = {none},
    pages = {21-32},
    address = {Barcelona, Spain},
    note = {Colloque avec actes et comit{\'e} de lecture. internationale. A03-R-098 || clavier03a A03-R-098 || clavier03a },
    audience = {internationale },
    year = {2003},
    month = Jul,
}

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