A Tabular Survey of Automated Table Processing
Identifieur interne : 000656 ( Istex/Corpus ); précédent : 000655; suivant : 000657A Tabular Survey of Automated Table Processing
Auteurs : Daniel Lopresti ; George NagySource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2000.
Abstract
Abstract: Tables are the only acceptable means of communicating certain types of structured data. A precise definition of “tabularity” remains elusive because some bureaucratic forms, multicolumn text layouts, and schematic drawings share many characteristics of tables. There are significant differences between typeset tables, electronic files designed for display of tables, and tables in symbolic form intended for information retrieval. Although most research to date has addressed the extraction of low-level geometric information from scanned raster images of paper tables, the recent trend toward the analysis of tables in electronic form may pave the way to a higher level of table understanding. Recent research on table composition and table analysis has improved our understanding of the distinction between the logical and physical structures of tables, and has led to improved formalisms for modeling tables. The present study indicates that progress on half-a-dozen specific research issues would open the door to using existing paper and electronic tables for database update, tabular browsing, structured information retrieval through graphical and audio interfaces, multimedia table editing, and platform-independent display. Although tables are not a conventional format for conveying the primary content of technical papers, here we attempt to subdue our natural garrulity by adopting this genre to communicate what we have to say about tables entirely in tabular form.
Url:
DOI: 10.1007/3-540-40953-X_9
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ISTEX:F481DB14D23000DAEB8519D81B3D59F63B33CC50Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">A Tabular Survey of Automated Table Processing</title><author><name sortKey="Lopresti, Daniel" sort="Lopresti, Daniel" uniqKey="Lopresti D" first="Daniel" last="Lopresti">Daniel Lopresti</name><affiliation><mods:affiliation>Bell Labs, Lucent Technologies Inc., 600 Mountain Avenue, Room 2D-447, NJ 07974, Murray Hill</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: dlopresti@lucent.com</mods:affiliation></affiliation></author><author><name sortKey="Nagy, George" sort="Nagy, George" uniqKey="Nagy G" first="George" last="Nagy">George Nagy</name><affiliation><mods:affiliation>Department of Electrical, NY 12180-3590, Troy</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: nagy@ecse.rpi.edu</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:F481DB14D23000DAEB8519D81B3D59F63B33CC50</idno><date when="2000" year="2000">2000</date><idno type="doi">10.1007/3-540-40953-X_9</idno><idno type="url">https://api.istex.fr/document/F481DB14D23000DAEB8519D81B3D59F63B33CC50/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000656</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">A Tabular Survey of Automated Table Processing</title><author><name sortKey="Lopresti, Daniel" sort="Lopresti, Daniel" uniqKey="Lopresti D" first="Daniel" last="Lopresti">Daniel Lopresti</name><affiliation><mods:affiliation>Bell Labs, Lucent Technologies Inc., 600 Mountain Avenue, Room 2D-447, NJ 07974, Murray Hill</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: dlopresti@lucent.com</mods:affiliation></affiliation></author><author><name sortKey="Nagy, George" sort="Nagy, George" uniqKey="Nagy G" first="George" last="Nagy">George Nagy</name><affiliation><mods:affiliation>Department of Electrical, NY 12180-3590, Troy</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: nagy@ecse.rpi.edu</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2000</date></imprint><idno type="ISSN">0302-9743</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">F481DB14D23000DAEB8519D81B3D59F63B33CC50</idno><idno type="DOI">10.1007/3-540-40953-X_9</idno><idno type="ChapterID">9</idno><idno type="ChapterID">Chap9</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: Tables are the only acceptable means of communicating certain types of structured data. A precise definition of “tabularity” remains elusive because some bureaucratic forms, multicolumn text layouts, and schematic drawings share many characteristics of tables. There are significant differences between typeset tables, electronic files designed for display of tables, and tables in symbolic form intended for information retrieval. Although most research to date has addressed the extraction of low-level geometric information from scanned raster images of paper tables, the recent trend toward the analysis of tables in electronic form may pave the way to a higher level of table understanding. Recent research on table composition and table analysis has improved our understanding of the distinction between the logical and physical structures of tables, and has led to improved formalisms for modeling tables. The present study indicates that progress on half-a-dozen specific research issues would open the door to using existing paper and electronic tables for database update, tabular browsing, structured information retrieval through graphical and audio interfaces, multimedia table editing, and platform-independent display. Although tables are not a conventional format for conveying the primary content of technical papers, here we attempt to subdue our natural garrulity by adopting this genre to communicate what we have to say about tables entirely in tabular form.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Daniel Lopresti</name><affiliations><json:string>Bell Labs, Lucent Technologies Inc., 600 Mountain Avenue, Room 2D-447, NJ 07974, Murray Hill</json:string><json:string>E-mail: dlopresti@lucent.com</json:string></affiliations></json:item><json:item><name>George Nagy</name><affiliations><json:string>Department of Electrical, NY 12180-3590, Troy</json:string><json:string>E-mail: nagy@ecse.rpi.edu</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><abstract>Abstract: Tables are the only acceptable means of communicating certain types of structured data. A precise definition of “tabularity” remains elusive because some bureaucratic forms, multicolumn text layouts, and schematic drawings share many characteristics of tables. There are significant differences between typeset tables, electronic files designed for display of tables, and tables in symbolic form intended for information retrieval. Although most research to date has addressed the extraction of low-level geometric information from scanned raster images of paper tables, the recent trend toward the analysis of tables in electronic form may pave the way to a higher level of table understanding. Recent research on table composition and table analysis has improved our understanding of the distinction between the logical and physical structures of tables, and has led to improved formalisms for modeling tables. The present study indicates that progress on half-a-dozen specific research issues would open the door to using existing paper and electronic tables for database update, tabular browsing, structured information retrieval through graphical and audio interfaces, multimedia table editing, and platform-independent display. 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A precise definition of “tabularity” remains elusive because some bureaucratic forms, multicolumn text layouts, and schematic drawings share many characteristics of tables. There are significant differences between typeset tables, electronic files designed for display of tables, and tables in symbolic form intended for information retrieval. Although most research to date has addressed the extraction of low-level geometric information from scanned raster images of paper tables, the recent trend toward the analysis of tables in electronic form may pave the way to a higher level of table understanding. Recent research on table composition and table analysis has improved our understanding of the distinction between the logical and physical structures of tables, and has led to improved formalisms for modeling tables. The present study indicates that progress on half-a-dozen specific research issues would open the door to using existing paper and electronic tables for database update, tabular browsing, structured information retrieval through graphical and audio interfaces, multimedia table editing, and platform-independent display. Although tables are not a conventional format for conveying the primary content of technical papers, here we attempt to subdue our natural garrulity by adopting this genre to communicate what we have to say about tables entirely in tabular form.</p></abstract><textClass><keywords scheme="Book Subject Collection"><list><label>SUCO11645</label><item><term>Computer Science</term></item></list></keywords></textClass><textClass><keywords scheme="Book Subject Group"><list><label>I</label><label>I2203X</label><label>I22021</label><label>I22013</label><label>I21017</label><label>I16021</label><item><term>Computer Science</term></item><item><term>Pattern Recognition</term></item><item><term>Image Processing and Computer Vision</term></item><item><term>Computer Graphics</term></item><item><term>Artificial Intelligence (incl. 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A precise definition of “tabularity” remains elusive because some bureaucratic forms, multicolumn text layouts, and schematic drawings share many characteristics of tables. There are significant differences between typeset tables, electronic files designed for display of tables, and tables in symbolic form intended for information retrieval. Although most research to date has addressed the extraction of low-level geometric information from scanned raster images of paper tables, the recent trend toward the analysis of tables in electronic form may pave the way to a higher level of table understanding. Recent research on table composition and table analysis has improved our understanding of the distinction between the logical and physical structures of tables, and has led to improved formalisms for modeling tables. The present study indicates that progress on half-a-dozen specific research issues would open the door to using existing paper and electronic tables for database update, tabular browsing, structured information retrieval through graphical and audio interfaces, multimedia table editing, and platform-independent display. Although tables are not a conventional format for conveying the primary content of technical papers, here we attempt to subdue our natural garrulity by adopting this genre to communicate what we have to say about tables entirely in tabular form.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>A Tabular Survey of Automated Table Processing</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>A Tabular Survey of Automated Table Processing</title></titleInfo><name type="personal"><namePart type="given">Daniel</namePart><namePart type="family">Lopresti</namePart><affiliation>Bell Labs, Lucent Technologies Inc., 600 Mountain Avenue, Room 2D-447, NJ 07974, Murray Hill</affiliation><affiliation>E-mail: dlopresti@lucent.com</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">George</namePart><namePart type="family">Nagy</namePart><affiliation>Department of Electrical, NY 12180-3590, Troy</affiliation><affiliation>E-mail: nagy@ecse.rpi.edu</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">2000</dateIssued><copyrightDate encoding="w3cdtf">2000</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: Tables are the only acceptable means of communicating certain types of structured data. A precise definition of “tabularity” remains elusive because some bureaucratic forms, multicolumn text layouts, and schematic drawings share many characteristics of tables. There are significant differences between typeset tables, electronic files designed for display of tables, and tables in symbolic form intended for information retrieval. Although most research to date has addressed the extraction of low-level geometric information from scanned raster images of paper tables, the recent trend toward the analysis of tables in electronic form may pave the way to a higher level of table understanding. Recent research on table composition and table analysis has improved our understanding of the distinction between the logical and physical structures of tables, and has led to improved formalisms for modeling tables. The present study indicates that progress on half-a-dozen specific research issues would open the door to using existing paper and electronic tables for database update, tabular browsing, structured information retrieval through graphical and audio interfaces, multimedia table editing, and platform-independent display. Although tables are not a conventional format for conveying the primary content of technical papers, here we attempt to subdue our natural garrulity by adopting this genre to communicate what we have to say about tables entirely in tabular form.</abstract><relatedItem type="host"><titleInfo><title>Graphics Recognition Recent Advances</title><subTitle>Third International Workshop, GREC’ 99 Jaipur, India, September 26–27, 1999 Selected Papers</subTitle></titleInfo><name type="personal"><namePart type="given">Atul</namePart><namePart type="given">K.</namePart><namePart type="family">Chhabra</namePart><affiliation>Verizon Communications, 500 Westchester Avenue, White Plains, 10604, NY, USA</affiliation><affiliation>E-mail: atul.k.chhabra@verizon.com</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Dov</namePart><namePart type="family">Dori</namePart><affiliation>School of Engineering, Engineering Systems Division, Massachusetts Institute of Technology, 77 Massachusetts Avenue, MA 02139-4307, Cambridge, USA</affiliation><affiliation>E-mail: dori@mit.edu</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Book Series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2000</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="I22021">Image Processing and Computer Vision</topic><topic authority="SpringerSubjectCodes" authorityURI="I22013">Computer Graphics</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. 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