DocMining: A Cooperative Platform for Heterogeneous Document Interpretation According to User-Defined Scenarios
Identifieur interne : 001E62 ( Istex/Corpus ); précédent : 001E61; suivant : 001E63DocMining: 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 :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2004.
Abstract
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.
Url:
DOI: 10.1007/978-3-540-25977-0_2
Links to Exploration step
ISTEX:5AE9D9290127B36EC3D0135D27ACC0BF1766D2EBLe document en format XML
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ID="Aff8"><OrgName>University of Bern</OrgName><OrgAddress><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff9"><OrgName>Indian Institute of Technology</OrgName><OrgAddress><City>Madras</City><Country>India</Country></OrgAddress></Affiliation><Affiliation ID="Aff10"><OrgName>University of Dortmund</OrgName><OrgAddress><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff11"><OrgName>Massachusetts Institute of Technology</OrgName><OrgAddress><City>MA</City><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff12"><OrgName>New York University</OrgName><OrgAddress><City>NY</City><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff13"><OrgName>University of California</OrgName><OrgAddress><City>Berkeley</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff14"><OrgName>Rice University</OrgName><OrgAddress><City>Houston</City><State>TX</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff15"><OrgName>Max-Planck Institute of Computer Science</OrgName><OrgAddress><City>Saarbruecken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SeriesHeader><Book Language="En"><BookInfo BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingDepth="2" NumberingStyle="ContentOnly" OutputMedium="All" TocLevels="0"><BookID>978-3-540-25977-0</BookID><BookTitle>Graphics Recognition. Recent Advances and Perspectives</BookTitle><BookSubTitle>5th International Workshop, GREC 2003, Barcelona, Spain, July 30-31, 2003, Revised Selected Papers</BookSubTitle><BookVolumeNumber>3088</BookVolumeNumber><BookSequenceNumber>3088</BookSequenceNumber><BookDOI>10.1007/b99011</BookDOI><BookTitleID>111264</BookTitleID><BookPrintISBN>978-3-540-22478-5</BookPrintISBN><BookElectronicISBN>978-3-540-25977-0</BookElectronicISBN><BookChapterCount>34</BookChapterCount><BookCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2004</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I2203X" Priority="1" Type="Secondary">Pattern Recognition</BookSubject><BookSubject Code="I16021" Priority="2" Type="Secondary">Algorithm Analysis and Problem Complexity</BookSubject><BookSubject Code="I18040" Priority="3" Type="Secondary">Information Systems Applications (incl.Internet)</BookSubject><BookSubject Code="I21017" Priority="4" Type="Secondary">Artificial Intelligence (incl. Robotics)</BookSubject><BookSubject Code="I22013" Priority="5" Type="Secondary">Computer Graphics</BookSubject><BookSubject Code="I22021" Priority="6" Type="Secondary">Image Processing and Computer Vision</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Josep</GivenName><FamilyName>Lladós</FamilyName></EditorName><Contact><Email>josep@cvc.uab.es</Email></Contact></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Young-Bin</GivenName><FamilyName>Kwon</FamilyName></EditorName><Contact><Email>ybkwon@cau.ac.kr</Email></Contact></Editor><Affiliation ID="Aff16"><OrgDivision>Computer Vision Center</OrgDivision><OrgName>Universitat Autònoma de Barcelona, Bellaterra</OrgName><OrgAddress><Postcode>08193</Postcode><City>(Barcelona)</City><Country>Spain</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgDivision>Departmen Computer Science and Engineering</OrgDivision><OrgName>Chung-Ang University</OrgName><OrgAddress><Street>221 Heuksukdong, Dongjakku</Street><City>Seoul</City><Country>Korea</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part1"><PartInfo TocLevels="0"><PartID>1</PartID><PartSequenceNumber>1</PartSequenceNumber><PartTitle>Platforms, Architectures and Document Knowledge Models</PartTitle><PartChapterCount>4</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Graphics Recognition. Recent Advances and Perspectives</BookTitle></PartContext></PartInfo><Chapter ID="Chap2" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>2</ChapterID><ChapterDOI>10.1007/978-3-540-25977-0_2</ChapterDOI><ChapterSequenceNumber>2</ChapterSequenceNumber><ChapterTitle Language="En">DocMining: A Cooperative Platform for Heterogeneous Document Interpretation According to User-Defined Scenarios</ChapterTitle><ChapterFirstPage>13</ChapterFirstPage><ChapterLastPage>24</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2004</CopyrightYear></ChapterCopyright><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><SeriesID>558</SeriesID><PartID>1</PartID><BookID>978-3-540-25977-0</BookID><BookTitle>Graphics Recognition. Recent Advances and Perspectives</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff18"><AuthorName DisplayOrder="Western"><GivenName>Eric</GivenName><FamilyName>Clavier</FamilyName></AuthorName><Contact><Email>rntl.ball001@rd.francetelecom.com</Email></Contact></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Gérald</GivenName><FamilyName>Masini</FamilyName></AuthorName><Contact><Email>Gerald.Masini@loria.fr</Email></Contact></Author><Author AffiliationIDS="Aff20"><AuthorName DisplayOrder="Western"><GivenName>Mathieu</GivenName><FamilyName>Delalandre</FamilyName></AuthorName><Contact><Email>Mathieu.Delalandre@univ-rouen.fr</Email></Contact></Author><Author AffiliationIDS="Aff21"><AuthorName DisplayOrder="Western"><GivenName>Maurizio</GivenName><FamilyName>Rigamonti</FamilyName></AuthorName><Contact><Email>Maurizio.Rigamonti@unifr.ch</Email></Contact></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Karl</GivenName><FamilyName>Tombre</FamilyName></AuthorName><Contact><Email>Karl.Tombre@loria.fr</Email></Contact></Author><Author AffiliationIDS="Aff18"><AuthorName DisplayOrder="Western"><GivenName>Joël</GivenName><FamilyName>Gardes</FamilyName></AuthorName><Contact><Email>Joel.Gardes@rd.francetelecom.com</Email></Contact></Author><Affiliation ID="Aff18"><OrgName>France Télécom R&D</OrgName><OrgAddress><Street>2 Avenue Pierre Marzin</Street><Postcode>22307 Cedex</Postcode><City>Lannion</City><Country>France</Country></OrgAddress></Affiliation><Affiliation ID="Aff19"><OrgName>LORIA</OrgName><OrgAddress><Postbox>B.P. 239</Postbox><Postcode>54506 Cedex</Postcode><City>Vandœuvre-lès-Nancy</City><Country>France</Country></OrgAddress></Affiliation><Affiliation ID="Aff20"><OrgDivision>PSI Laboratory</OrgDivision><OrgName>Université de Rouen</OrgName><OrgAddress><Postcode>76821</Postcode><City>Mont Saint Aignan</City><Country>France</Country></OrgAddress></Affiliation><Affiliation ID="Aff21"><OrgName>DIUF, Université de Fribourg, Chemin du musée</OrgName><OrgAddress><Postcode>31700</Postcode><City>Fribourg</City><Country>Switzerland</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>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.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>DocMining: A Cooperative Platform for Heterogeneous Document Interpretation According to User-Defined Scenarios</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>DocMining: A Cooperative Platform for Heterogeneous Document Interpretation According to User-Defined Scenarios</title></titleInfo><name type="personal"><namePart type="given">Eric</namePart><namePart type="family">Clavier</namePart><affiliation>France Télécom R&D, 2 Avenue Pierre Marzin, 22307 Cedex, Lannion, France</affiliation><affiliation>E-mail: rntl.ball001@rd.francetelecom.com</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Gérald</namePart><namePart type="family">Masini</namePart><affiliation>LORIA, B.P. 239, 54506 Cedex, Vandœuvre-lès-Nancy, France</affiliation><affiliation>E-mail: Gerald.Masini@loria.fr</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Mathieu</namePart><namePart type="family">Delalandre</namePart><affiliation>PSI Laboratory, Université de Rouen, 76821, Mont Saint Aignan, France</affiliation><affiliation>E-mail: Mathieu.Delalandre@univ-rouen.fr</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Maurizio</namePart><namePart type="family">Rigamonti</namePart><affiliation>DIUF, Université de Fribourg, Chemin du musée, 31700, Fribourg, Switzerland</affiliation><affiliation>E-mail: Maurizio.Rigamonti@unifr.ch</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Karl</namePart><namePart type="family">Tombre</namePart><affiliation>LORIA, B.P. 239, 54506 Cedex, Vandœuvre-lès-Nancy, France</affiliation><affiliation>E-mail: Karl.Tombre@loria.fr</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Joël</namePart><namePart type="family">Gardes</namePart><affiliation>France Télécom R&D, 2 Avenue Pierre Marzin, 22307 Cedex, Lannion, France</affiliation><affiliation>E-mail: Joel.Gardes@rd.francetelecom.com</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference [eBooks]" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2004</dateIssued><copyrightDate encoding="w3cdtf">2004</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">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.</abstract><relatedItem type="host"><titleInfo><title>Graphics Recognition. 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