DocMining : A Cooperative Platform for Heterogeneous Document Interpretation According to User-Defined Scenarios
Identifieur interne : 003837 ( Crin/Corpus ); précédent : 003836; suivant : 003838DocMining : A Cooperative Platform for Heterogeneous Document Interpretation According to User-Defined Scenarios
Auteurs : Eric Clavier ; Gérald Masini ; Mathieu Delalandre ; Maurizio Rigamonti ; Karl Tombre ; Joël GardesSource :
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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.
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" wicri:score="570">DocMining : A Cooperative Platform for Heterogeneous Document Interpretation According to User-Defined Scenarios</title></titleStmt><publicationStmt><idno type="RBID">CRIN:clavier03a</idno><date when="2003" year="2003">2003</date><idno type="wicri:Area/Crin/Corpus">003837</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">DocMining : A Cooperative Platform for Heterogeneous Document Interpretation According to User-Defined Scenarios</title><author><name sortKey="Clavier, Eric" sort="Clavier, Eric" uniqKey="Clavier E" first="Eric" last="Clavier">Eric Clavier</name></author><author><name sortKey="Masini, Gerald" sort="Masini, Gerald" uniqKey="Masini G" first="Gérald" last="Masini">Gérald Masini</name></author><author><name sortKey="Delalandre, Mathieu" sort="Delalandre, Mathieu" uniqKey="Delalandre M" first="Mathieu" last="Delalandre">Mathieu Delalandre</name></author><author><name sortKey="Rigamonti, Maurizio" sort="Rigamonti, Maurizio" uniqKey="Rigamonti M" first="Maurizio" last="Rigamonti">Maurizio Rigamonti</name></author><author><name sortKey="Tombre, Karl" sort="Tombre, Karl" uniqKey="Tombre K" first="Karl" last="Tombre">Karl Tombre</name></author><author><name sortKey="Gardes, Joel" sort="Gardes, Joel" uniqKey="Gardes J" first="Joël" last="Gardes">Joël Gardes</name></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>document</term><term>graphics recognition</term><term>platform</term><term>software</term><term>system</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en" wicri:score="1909">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.</div></front></TEI><BibTex type="inproceedings"><ref>clavier03a</ref><crinnumber>A03-R-098</crinnumber><category>3</category><author><e>Clavier, Eric</e><e>Masini, Gérald</e><e>Delalandre, Mathieu</e><e>Rigamonti, Maurizio</e><e>Tombre, Karl</e><e>Gardes, Joël</e></author><title>DocMining : A Cooperative Platform for Heterogeneous Document Interpretation According to User-Defined Scenarios</title><booktitle>{5th IAPR International Workshop on Graphics Recognition, Barcelona, Spain}</booktitle><year>2003</year><pages>21-32</pages><month>Jul</month><url>http://www.loria.fr/publications/2003/A03-R-098/A03-R-098.ps</url><keywords><e>document</e><e>system</e><e>platform</e><e>software</e><e>graphics recognition</e></keywords><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.</abstract></BibTex></record>Pour manipuler ce document sous Unix (Dilib)
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