smartFIX : An Adaptive System for Document Analysis and Understanding
Identifieur interne : 000455 ( Istex/Corpus ); précédent : 000454; suivant : 000456smartFIX : An Adaptive System for Document Analysis and Understanding
Auteurs : Bertin Klein ; R. Dengel ; Andreas FordanSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2004.
Abstract
Abstract: The internet is certainly a wide-spread platform for information interchange today and the semantic web actually seems to become more and more real. However, day-to-day work in companies still necessitates the laborious, manual processing of huge amounts of printed documents. This article presents the system smartFIX, a document analysis and understanding system developed by the DFKI spin-off insiders. During the research project “adaptive Read”, funded by the German ministry for research, BMBF, smartFIX was fundamentally developed to a higher maturity level, with a focus on adaptivity. The system is able to extract information from documents – documents ranging from fixed format forms to unstructured letters of many formats. Apart from the architecture, the main components and the system characteristics, we also show some results from the application of smartFIX to representative samples of medical bills and prescriptions.
Url:
DOI: 10.1007/978-3-540-24642-8_11
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ISTEX:E8CFB9212A592E869A80D00E7DA5FDC9E14A0C1BLe document en format XML
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However, day-to-day work in companies still necessitates the laborious, manual processing of huge amounts of printed documents. This article presents the system smartFIX, a document analysis and understanding system developed by the DFKI spin-off insiders. During the research project “adaptive Read”, funded by the German ministry for research, BMBF, smartFIX was fundamentally developed to a higher maturity level, with a focus on adaptivity. The system is able to extract information from documents – documents ranging from fixed format forms to unstructured letters of many formats. 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However, day-to-day work in companies still necessitates the laborious, manual processing of huge amounts of printed documents. This article presents the system smartFIX, a document analysis and understanding system developed by the DFKI spin-off insiders. During the research project “adaptive Read”, funded by the German ministry for research, BMBF, smartFIX was fundamentally developed to a higher maturity level, with a focus on adaptivity. The system is able to extract information from documents – documents ranging from fixed format forms to unstructured letters of many formats. 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Robotics)</BookSubject><BookSubject Code="I21033" Priority="5" Type="Secondary">Document Preparation and Text Processing</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="Aff4"><EditorName DisplayOrder="Western"><GivenName>Andreas</GivenName><FamilyName>Dengel</FamilyName></EditorName><Contact><Email>Andreas.Dengel@dfki.de</Email></Contact></Editor><Editor AffiliationIDS="Aff5"><EditorName DisplayOrder="Western"><GivenName>Markus</GivenName><FamilyName>Junker</FamilyName></EditorName><Contact><Email>Markus.Junker@dfki.de</Email></Contact></Editor><Editor AffiliationIDS="Aff6"><EditorName DisplayOrder="Western"><GivenName>Anette</GivenName><FamilyName>Weisbecker</FamilyName></EditorName><Contact><Email>Anette.Weisbecker@iao.fraunhofer.de</Email></Contact></Editor><Affiliation ID="Aff4"><OrgDivision>Knowledge Management Department</OrgDivision><OrgName>German Research Center for Artificial Intelligence (DFKI) GmbH</OrgName><OrgAddress><City>Kaiserslautern</City><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff5"><OrgName>German Research Center for Artificial Intelligence (DFKI)</OrgName><OrgAddress><Postbox>P.O.Box 2080</Postbox><Postcode>67608</Postcode><City>Kaiserslautern</City><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff6"><OrgDivision>Institute for Human Factors and Technology Management</OrgDivision><OrgName>University of Stuttgart</OrgName><OrgAddress><Street>Nobelstraße 12</Street><Postcode>70569</Postcode><City>Stuttgart</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Chapter ID="Chap11" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>11</ChapterID><ChapterDOI>10.1007/978-3-540-24642-8_11</ChapterDOI><ChapterSequenceNumber>11</ChapterSequenceNumber><ChapterTitle Language="En"><Emphasis Type="Italic">smartFIX</Emphasis>: An Adaptive System for Document Analysis and Understanding</ChapterTitle><ChapterFirstPage>166</ChapterFirstPage><ChapterLastPage>186</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><BookID>978-3-540-24642-8</BookID><BookTitle>Reading and Learning</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff7"><AuthorName DisplayOrder="Western"><GivenName>Bertin</GivenName><FamilyName>Klein</FamilyName></AuthorName><Contact><Email>klein@dfki.de</Email></Contact></Author><Author AffiliationIDS="Aff7"><AuthorName DisplayOrder="Western"><GivenName>Andreas</GivenName><GivenName>R.</GivenName><FamilyName>Dengel</FamilyName></AuthorName><Contact><Email>dengel@dfki.de</Email></Contact></Author><Author AffiliationIDS="Aff8"><AuthorName DisplayOrder="Western"><GivenName>Andreas</GivenName><FamilyName>Fordan</FamilyName></AuthorName><Contact><Email>A.Fordan@insiders-technologies.de</Email></Contact></Author><Affiliation ID="Aff7"><OrgName>German Research Center for Artificial Intelligence (DFKI)</OrgName><OrgAddress><Postbox>P.O.Box 2080</Postbox><Postcode>D-67608</Postcode><City>Kaiserslautern</City><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff8"><OrgName>INSIDERS technologies GmbH</OrgName><OrgAddress><Street>Brüsseler-Str. 1</Street><Postcode>D-67657</Postcode><City>Kaiserslautern</City><Country>Germany</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>The internet is certainly a wide-spread platform for information interchange today and the semantic web actually seems to become more and more real. However, day-to-day work in companies still necessitates the laborious, manual processing of huge amounts of printed documents. This article presents the system <Emphasis Type="Italic">smartFIX</Emphasis>, a document analysis and understanding system developed by the DFKI spin-off insiders. During the research project “adaptive Read”, funded by the German ministry for research, BMBF, <Emphasis Type="Italic">smartFIX</Emphasis> was fundamentally developed to a higher maturity level, with a focus on adaptivity. The system is able to extract information from documents – documents ranging from fixed format forms to unstructured letters of many formats. Apart from the architecture, the main components and the system characteristics, we also show some results from the application of <Emphasis Type="Italic">smartFIX</Emphasis> to representative samples of medical bills and prescriptions.</Para></Abstract><KeywordGroup Language="En"><Heading>Keywords</Heading><Keyword>Document analysis and understanding</Keyword><Keyword>document classification</Keyword><Keyword>information extraction</Keyword><Keyword>table extraction</Keyword><Keyword>extraction optimization</Keyword><Keyword>extraction verification</Keyword><Keyword>industrial invoice processing</Keyword></KeywordGroup></ChapterHeader><NoBody></NoBody></Chapter></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>smartFIX : An Adaptive System for Document Analysis and Understanding</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>smartFIX: An Adaptive System for Document Analysis and Understanding</title></titleInfo><name type="personal"><namePart type="given">Bertin</namePart><namePart type="family">Klein</namePart><affiliation>German Research Center for Artificial Intelligence (DFKI), P.O.Box 2080, D-67608, Kaiserslautern, Germany</affiliation><affiliation>E-mail: klein@dfki.de</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Andreas</namePart><namePart type="given">R.</namePart><namePart type="family">Dengel</namePart><affiliation>German Research Center for Artificial Intelligence (DFKI), P.O.Box 2080, D-67608, Kaiserslautern, Germany</affiliation><affiliation>E-mail: dengel@dfki.de</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Andreas</namePart><namePart type="family">Fordan</namePart><affiliation>INSIDERS technologies GmbH, Brüsseler-Str. 1, D-67657, Kaiserslautern, Germany</affiliation><affiliation>E-mail: A.Fordan@insiders-technologies.de</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 internet is certainly a wide-spread platform for information interchange today and the semantic web actually seems to become more and more real. However, day-to-day work in companies still necessitates the laborious, manual processing of huge amounts of printed documents. This article presents the system smartFIX, a document analysis and understanding system developed by the DFKI spin-off insiders. During the research project “adaptive Read”, funded by the German ministry for research, BMBF, smartFIX was fundamentally developed to a higher maturity level, with a focus on adaptivity. The system is able to extract information from documents – documents ranging from fixed format forms to unstructured letters of many formats. Apart from the architecture, the main components and the system characteristics, we also show some results from the application of smartFIX to representative samples of medical bills and prescriptions.</abstract><relatedItem type="host"><titleInfo><title>Reading and Learning</title><subTitle>Adaptive Content Recognition</subTitle></titleInfo><name type="personal"><namePart type="given">Andreas</namePart><namePart type="family">Dengel</namePart><affiliation>Knowledge Management Department, German Research Center for Artificial Intelligence (DFKI) GmbH, Kaiserslautern, Germany</affiliation><affiliation>E-mail: Andreas.Dengel@dfki.de</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Markus</namePart><namePart type="family">Junker</namePart><affiliation>German Research Center for Artificial Intelligence (DFKI), P.O.Box 2080, 67608, Kaiserslautern, Germany</affiliation><affiliation>E-mail: Markus.Junker@dfki.de</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Anette</namePart><namePart type="family">Weisbecker</namePart><affiliation>Institute for Human Factors and Technology Management, University of Stuttgart, Nobelstraße 12, 70569, Stuttgart, Germany</affiliation><affiliation>E-mail: Anette.Weisbecker@iao.fraunhofer.de</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Book Series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2004</copyrightDate><issuance>monographic</issuance></originInfo><subject><genre>Book Subject Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic></subject><subject><genre>Book Subject Group</genre><topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic><topic authority="SpringerSubjectCodes" authorityURI="I2203X">Pattern Recognition</topic><topic authority="SpringerSubjectCodes" authorityURI="I18032">Information Storage and Retrieval</topic><topic authority="SpringerSubjectCodes" authorityURI="I18040">Information Systems Applications (incl.Internet)</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. Robotics)</topic><topic authority="SpringerSubjectCodes" authorityURI="I21033">Document Preparation and Text Processing</topic><topic authority="SpringerSubjectCodes" authorityURI="I22021">Image Processing and Computer Vision</topic></subject><identifier type="DOI">10.1007/b96988</identifier><identifier type="ISBN">978-3-540-21904-0</identifier><identifier type="eISBN">978-3-540-24642-8</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="BookTitleID">82308</identifier><identifier type="BookID">978-3-540-24642-8</identifier><identifier type="BookChapterCount">18</identifier><identifier type="BookVolumeNumber">2956</identifier><identifier type="BookSequenceNumber">2956</identifier><part><date>2004</date><detail type="volume"><number>2956</number><caption>vol.</caption></detail><extent unit="pages"><start>166</start><end>186</end></extent></part><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2004</recordOrigin></recordInfo></relatedItem><relatedItem type="series"><titleInfo><title>Lecture Notes in Computer Science</title></titleInfo><name type="personal"><namePart type="given">Gerhard</namePart><namePart type="family">Goos</namePart><affiliation>Karlsruhe University, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Juris</namePart><namePart type="family">Hartmanis</namePart><affiliation>Cornell University, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jan</namePart><namePart type="family">van Leeuwen</namePart><affiliation>Utrecht University, The Netherlands</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><originInfo><copyrightDate encoding="w3cdtf">2004</copyrightDate><issuance>serial</issuance></originInfo><identifier type="ISSN">0302-9743</identifier><identifier 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