The Lixto Project: Exploring New Frontiers of Web Data Extraction
Identifieur interne : 001738 ( Istex/Corpus ); précédent : 001737; suivant : 001739The Lixto Project: Exploring New Frontiers of Web Data Extraction
Auteurs : Julien Carme ; Michal Ceresna ; Oliver Frölich ; Georg Gottlob ; Tamir Hassan ; Marcus Herzog ; Wolfgang Holzinger ; Bernhard KrüplSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.
Abstract
Abstract: The Lixto project is an ongoing research effort in the area of Web data extraction. Whereas the project originally started out with the idea to develop a logic-based extraction language and a tool to visually define extraction programs from sample Web pages, the scope of the project has been extended over time. Today, new issues such as employing learning algorithms for the definition of extraction programs, automatically extracting data from Web pages featuring a table-centric visual appearance, and extracting from alternative document formats such as PDF are being investigated.
Url:
DOI: 10.1007/11788911_1
Links to Exploration step
ISTEX:0C718A8F5FAB0E25106D6113A0357246B7356F14Le document en format XML
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Whereas the project originally started out with the idea to develop a logic-based extraction language and a tool to visually define extraction programs from sample Web pages, the scope of the project has been extended over time. Today, new issues such as employing learning algorithms for the definition of extraction programs, automatically extracting data from Web pages featuring a table-centric visual appearance, and extracting from alternative document formats such as PDF are being investigated.</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>I18024</label><label>I18032</label><label>I18040</label><item><term>Computer Science</term></item><item><term>Database Management</term></item><item><term>Information Storage and Retrieval</term></item><item><term>Information Systems Applications (incl.Internet)</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2006">Published</change><change xml:id="refBibs-istex" who="#ISTEX-API" when="2016-3-19">References 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Proceedings</BookSubTitle><BookVolumeNumber>4042</BookVolumeNumber><BookSequenceNumber>4042</BookSequenceNumber><BookDOI>10.1007/11788911</BookDOI><BookTitleID>139983</BookTitleID><BookPrintISBN>978-3-540-35969-2</BookPrintISBN><BookElectronicISBN>978-3-540-35971-5</BookElectronicISBN><BookChapterCount>33</BookChapterCount><BookCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2006</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I18024" Priority="1" Type="Secondary">Database Management</BookSubject><BookSubject Code="I18032" Priority="2" Type="Secondary">Information Storage and Retrieval</BookSubject><BookSubject Code="I18040" Priority="3" Type="Secondary">Information Systems Applications (incl.Internet)</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>David</GivenName><GivenName>A.</GivenName><FamilyName>Bell</FamilyName></EditorName><Contact><Email>da.bell@qub.ac.uk</Email></Contact></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Jun</GivenName><FamilyName>Hong</FamilyName></EditorName><Contact><Email>j.hong@qub.ac.uk</Email></Contact></Editor><Affiliation ID="Aff16"><OrgDivision>The School of Electronics, Electrical, Engineering and Computer Science</OrgDivision><OrgName>Queen’s University Belfast</OrgName><OrgAddress><Postcode>BT7 1NN N.I.</Postcode><City>Belfast</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgDivision>School of Electronics, Electrical Engineering and Computer Science</OrgDivision><OrgName>Queen’s University Belfast</OrgName><OrgAddress><Postcode>BT7 1NN</Postcode><City>Belfast</City><Country>UK</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part1"><PartInfo TocLevels="0"><PartID>1</PartID><PartSequenceNumber>1</PartSequenceNumber><PartTitle>Invited Papers</PartTitle><PartChapterCount>2</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Flexible and Efficient Information Handling</BookTitle></PartContext></PartInfo><Chapter ID="Chap1" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>1</ChapterID><ChapterDOI>10.1007/11788911_1</ChapterDOI><ChapterSequenceNumber>1</ChapterSequenceNumber><ChapterTitle Language="En">The Lixto Project: Exploring New Frontiers of Web Data Extraction</ChapterTitle><ChapterFirstPage>1</ChapterFirstPage><ChapterLastPage>15</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2006</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>978-3-540-35971-5</BookID><BookTitle>Flexible and Efficient Information Handling</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff18"><AuthorName DisplayOrder="Western"><GivenName>Julien</GivenName><FamilyName>Carme</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff18"><AuthorName DisplayOrder="Western"><GivenName>Michal</GivenName><FamilyName>Ceresna</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff18"><AuthorName DisplayOrder="Western"><GivenName>Oliver</GivenName><FamilyName>Frölich</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Georg</GivenName><FamilyName>Gottlob</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff18"><AuthorName DisplayOrder="Western"><GivenName>Tamir</GivenName><FamilyName>Hassan</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff18"><AuthorName DisplayOrder="Western"><GivenName>Marcus</GivenName><FamilyName>Herzog</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff18"><AuthorName DisplayOrder="Western"><GivenName>Wolfgang</GivenName><FamilyName>Holzinger</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff18"><AuthorName DisplayOrder="Western"><GivenName>Bernhard</GivenName><FamilyName>Krüpl</FamilyName></AuthorName></Author><Affiliation ID="Aff18"><OrgDivision>Database and Artificial Intelligence Group</OrgDivision><OrgName>Vienna University of Technology</OrgName><OrgAddress><Street>Favoritenstraße 9-11</Street><Postcode>A-1040</Postcode><City>Wien</City><Country>Austria</Country></OrgAddress></Affiliation><Affiliation ID="Aff19"><OrgName>Oxford University Computing Laboratory</OrgName><OrgAddress><Street>Wolfson Building, Parks Road</Street><City>Oxford</City><Postcode>OX1 3QD</Postcode><Country>United Kingdom</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>The Lixto project is an ongoing research effort in the area of Web data extraction. Whereas the project originally started out with the idea to develop a logic-based extraction language and a tool to visually define extraction programs from sample Web pages, the scope of the project has been extended over time. Today, new issues such as employing learning algorithms for the definition of extraction programs, automatically extracting data from Web pages featuring a table-centric visual appearance, and extracting from alternative document formats such as PDF are being investigated.</Para></Abstract><ArticleNote Type="Misc"><SimplePara>This work is funded in part by the Austrian Federal Ministry for Transport, Innovation and Technology under the FIT-IT Semantic Systems program.</SimplePara></ArticleNote></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>The Lixto Project: Exploring New Frontiers of Web Data Extraction</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>The Lixto Project: Exploring New Frontiers of Web Data Extraction</title></titleInfo><name type="personal"><namePart type="given">Julien</namePart><namePart type="family">Carme</namePart><affiliation>Database and Artificial Intelligence Group, Vienna University of Technology, Favoritenstraße 9-11, A-1040, Wien, Austria</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Michal</namePart><namePart type="family">Ceresna</namePart><affiliation>Database and Artificial Intelligence Group, Vienna University of Technology, Favoritenstraße 9-11, A-1040, Wien, Austria</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Oliver</namePart><namePart type="family">Frölich</namePart><affiliation>Database and Artificial Intelligence Group, Vienna University of Technology, Favoritenstraße 9-11, A-1040, Wien, Austria</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Georg</namePart><namePart type="family">Gottlob</namePart><affiliation>Oxford University Computing Laboratory, Wolfson Building, Parks Road, OX1 3QD, Oxford, United Kingdom</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Tamir</namePart><namePart type="family">Hassan</namePart><affiliation>Database and Artificial Intelligence Group, Vienna University of Technology, Favoritenstraße 9-11, A-1040, Wien, Austria</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Marcus</namePart><namePart type="family">Herzog</namePart><affiliation>Database and Artificial Intelligence Group, Vienna University of Technology, Favoritenstraße 9-11, A-1040, Wien, Austria</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Wolfgang</namePart><namePart type="family">Holzinger</namePart><affiliation>Database and Artificial Intelligence Group, Vienna University of Technology, Favoritenstraße 9-11, A-1040, Wien, Austria</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Bernhard</namePart><namePart type="family">Krüpl</namePart><affiliation>Database and Artificial Intelligence Group, Vienna University of Technology, Favoritenstraße 9-11, A-1040, Wien, Austria</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">2006</dateIssued><copyrightDate encoding="w3cdtf">2006</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 Lixto project is an ongoing research effort in the area of Web data extraction. Whereas the project originally started out with the idea to develop a logic-based extraction language and a tool to visually define extraction programs from sample Web pages, the scope of the project has been extended over time. Today, new issues such as employing learning algorithms for the definition of extraction programs, automatically extracting data from Web pages featuring a table-centric visual appearance, and extracting from alternative document formats such as PDF are being investigated.</abstract><relatedItem type="host"><titleInfo><title>Flexible and Efficient Information Handling</title><subTitle>23rd British National Conference on Databases, BNCOD 23, Belfast, Northern Ireland, UK, July 18-20, 2006. 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