A Survey of Hybrid Representations of Concept Lattices in Conceptual Knowledge Processing
Identifieur interne : 000957 ( Istex/Corpus ); précédent : 000956; suivant : 000958A Survey of Hybrid Representations of Concept Lattices in Conceptual Knowledge Processing
Auteurs : Peter Eklund ; Jean VillerdSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
English descriptors
- KwdEn :
- Additive line diagram, Additive line diagrams, Attraction force, Attribute, Background layers, Binary, Binary attributes, Computer science, Concept hierarchies, Concept hierarchy, Concept lattice, Concept lattices, Conceptual, Conceptual knowledge processing, Conceptual structures, Corresponding line diagram, Data discovery, Data mining, Diagram, Ducrou, Edge crossings, Eklund, Euclidian distances, Extent cardinality, Flight time days, Formal concept, Formal concept analysis, Formal concepts, Hasse diagram, Heidelberg, Hybrid, Hybrid approach, Hybrid representations, Iceberg lattices, Information retrieval, Information science, Information technology, Information visualization, Intelligent user interface, Lattice, Lattice diagram, Layer shading, Line diagram, Line diagrams, Line segment, Line segments, Lnai, Lncs, Lower neighbors, Nominal attributes, Numerical attributes, Object extents, Object name, Other hand, Repulsion force, Retrieval, Second approach, Similarity measures, Small circles, Spring embedder model, Springer, Stumme, Upper neighbors, Villerd, Virtual museum, Visualization, Wille.
- Teeft :
- Additive line diagram, Additive line diagrams, Attraction force, Attribute, Background layers, Binary, Binary attributes, Computer science, Concept hierarchies, Concept hierarchy, Concept lattice, Concept lattices, Conceptual, Conceptual knowledge processing, Conceptual structures, Corresponding line diagram, Data discovery, Data mining, Diagram, Ducrou, Edge crossings, Eklund, Euclidian distances, Extent cardinality, Flight time days, Formal concept, Formal concept analysis, Formal concepts, Hasse diagram, Heidelberg, Hybrid, Hybrid approach, Hybrid representations, Iceberg lattices, Information retrieval, Information science, Information technology, Information visualization, Intelligent user interface, Lattice, Lattice diagram, Layer shading, Line diagram, Line diagrams, Line segment, Line segments, Lnai, Lncs, Lower neighbors, Nominal attributes, Numerical attributes, Object extents, Object name, Other hand, Repulsion force, Retrieval, Second approach, Similarity measures, Small circles, Spring embedder model, Springer, Stumme, Upper neighbors, Villerd, Virtual museum, Visualization, Wille.
Abstract
Abstract: A feature of Formal Concept Analysis is the use of the line diagram of the concept lattice to visualize a conceptual space. The line diagram is a specialized form of Hasse diagram labeled with the object extents and the attribute intents. The line diagram is usually drawn so that its rendering maximizes symmetry and minimizes edge crossings. Further the line diagram is usually layered hierarchically from top to bottom. Variations of the line diagram are frowned upon in the mathematical treatment of Formal Concept Analysis but hybrid presentations of concept lattices have practical value when used in an appropriate application context. This paper surveys previous work on using line diagrams and further explores hybrid visual representations of concept lattices. It identifies connections to other visual information techniques in data mining and information visualisation that can be used to enhance Formal Concept Analysis applications.
Url:
DOI: 10.1007/978-3-642-11928-6_21
Links to Exploration step
ISTEX:323B238847D21BC27B8F537852872706366891BFLe document en format XML
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The line diagram is a specialized form of Hasse diagram labeled with the object extents and the attribute intents. The line diagram is usually drawn so that its rendering maximizes symmetry and minimizes edge crossings. Further the line diagram is usually layered hierarchically from top to bottom. Variations of the line diagram are frowned upon in the mathematical treatment of Formal Concept Analysis but hybrid presentations of concept lattices have practical value when used in an appropriate application context. This paper surveys previous work on using line diagrams and further explores hybrid visual representations of concept lattices. It identifies connections to other visual information techniques in data mining and information visualisation that can be used to enhance Formal Concept Analysis applications.</abstract><qualityIndicators><score>8.728</score><pdfWordCount>5487</pdfWordCount><pdfCharCount>33343</pdfCharCount><pdfVersion>1.6</pdfVersion><pdfPageCount>16</pdfPageCount><pdfPageSize>430 x 660 pts</pdfPageSize><refBibsNative>false</refBibsNative><abstractWordCount>144</abstractWordCount><abstractCharCount>956</abstractCharCount><keywordCount>0</keywordCount></qualityIndicators><title>A Survey of Hybrid Representations of Concept Lattices in Conceptual Knowledge Processing</title><chapterId><json:string>21</json:string><json:string>Chap21</json:string></chapterId><genre><json:string>conference</json:string></genre><serie><title>Lecture Notes in Computer Science</title><language><json:string>unknown</json:string></language><copyrightDate>2010</copyrightDate><issn><json:string>0302-9743</json:string></issn><eissn><json:string>1611-3349</json:string></eissn><editor><json:item><name>David Hutchison</name><affiliations><json:string>Lancaster University, Lancaster, UK</json:string></affiliations></json:item><json:item><name>Takeo Kanade</name><affiliations><json:string>Carnegie Mellon University, Pittsburgh, PA, USA</json:string></affiliations></json:item><json:item><name>Josef Kittler</name><affiliations><json:string>University of Surrey, Guildford, UK</json:string></affiliations></json:item><json:item><name>Jon M. Kleinberg</name><affiliations><json:string>Cornell University, Ithaca, NY, USA</json:string></affiliations></json:item><json:item><name>Friedemann Mattern</name><affiliations><json:string>ETH Zurich, Zurich, Switzerland</json:string></affiliations></json:item><json:item><name>John C. Mitchell</name><affiliations><json:string>Stanford University, Stanford, CA, USA</json:string></affiliations></json:item><json:item><name>Moni Naor</name><affiliations><json:string>Weizmann Institute of Science, Rehovot, Israel</json:string></affiliations></json:item><json:item><name>Oscar Nierstrasz</name><affiliations><json:string>University of Bern, Bern, Switzerland</json:string></affiliations></json:item><json:item><name>C. Pandu Rangan</name><affiliations><json:string>Indian Institute of Technology, Madras, India</json:string></affiliations></json:item><json:item><name>Bernhard Steffen</name><affiliations><json:string>University of Dortmund, Dortmund, Germany</json:string></affiliations></json:item><json:item><name>Madhu Sudan</name><affiliations><json:string>Massachusetts Institute of Technology, MA, USA</json:string></affiliations></json:item><json:item><name>Demetri Terzopoulos</name><affiliations><json:string>University of California, Los Angeles, CA, USA</json:string></affiliations></json:item><json:item><name>Doug Tygar</name><affiliations><json:string>University of California, Berkeley, CA, USA</json:string></affiliations></json:item><json:item><name>Moshe Y. Vardi</name><affiliations><json:string>Rice University, Houston, TX, USA</json:string></affiliations></json:item><json:item><name>Gerhard Weikum</name><affiliations><json:string>Max-Planck Institute of Computer Science, Saarbrücken, Germany</json:string></affiliations></json:item></editor></serie><host><title>Formal Concept Analysis</title><language><json:string>unknown</json:string></language><copyrightDate>2010</copyrightDate><doi><json:string>10.1007/978-3-642-11928-6</json:string></doi><issn><json:string>0302-9743</json:string></issn><eissn><json:string>1611-3349</json:string></eissn><eisbn><json:string>978-3-642-11928-6</json:string></eisbn><bookId><json:string>978-3-642-11928-6</json:string></bookId><isbn><json:string>978-3-642-11927-9</json:string></isbn><volume>5986</volume><pages><first>296</first><last>311</last></pages><genre><json:string>book-series</json:string></genre><editor><json:item><name>Léonard Kwuida</name><affiliations><json:string>School of Engineering, Zurich University of Applied Sciences, Technikumstraße 9, 8401, Winterthur, Switzerland</json:string><json:string>E-mail: kwuida@gmail.com</json:string></affiliations></json:item><json:item><name>Barış Sertkaya</name><affiliations><json:string>SAP Research Center, Chemnitzer Straße 48, 01187, Dresden, Germany</json:string><json:string>E-mail: sertkaya@tcs.inf.tu-dresden.de</json:string></affiliations></json:item></editor><subject><json:item><value>Computer Science</value></json:item><json:item><value>Computer Science</value></json:item><json:item><value>Artificial Intelligence (incl. Robotics)</value></json:item><json:item><value>Artificial Intelligence (incl. Robotics)</value></json:item><json:item><value>Data Mining and Knowledge Discovery</value></json:item><json:item><value>Mathematical Logic and Formal Languages</value></json:item><json:item><value>Discrete Mathematics in Computer Science</value></json:item><json:item><value>Order, Lattices, Ordered Algebraic Structures</value></json:item></subject></host><namedEntities><unitex><date><json:string>80s</json:string><json:string>2003</json:string><json:string>2010</json:string></date><geogName></geogName><orgName><json:string>Grand Est Research Centre Nancy, France</json:string><json:string>Technology University</json:string></orgName><orgName_funder></orgName_funder><orgName_provider></orgName_provider><persName><json:string>Freese</json:string><json:string>P. Eklund</json:string><json:string>L. Kwuida</json:string><json:string>Line Diagrams</json:string><json:string>J. 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Proceedings</title><idno type="DOI">10.1007/978-3-642-11928-6</idno><idno type="pISBN">978-3-642-11927-9</idno><idno type="eISBN">978-3-642-11928-6</idno><idno type="pISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="book-title-id">209666</idno><idno type="book-id">978-3-642-11928-6</idno><idno type="book-chapter-count">22</idno><idno type="book-volume-number">5986</idno><idno type="book-sequence-number">5986</idno><idno type="PartChapterCount">17</idno><editor xml:id="book-author-0000"><persName><forename type="first">Léonard</forename><surname>Kwuida</surname></persName><email>kwuida@gmail.com</email><affiliation>School of Engineering, Zurich University of Applied Sciences, Technikumstraße 9, 8401, Winterthur, Switzerland</affiliation></editor><editor xml:id="book-author-0001"><persName><forename type="first">Barış</forename><surname>Sertkaya</surname></persName><email>sertkaya@tcs.inf.tu-dresden.de</email><affiliation>SAP Research Center, Chemnitzer Straße 48, 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type="first">David</forename><surname>Hutchison</surname></persName><affiliation>Lancaster University, Lancaster, UK</affiliation></editor><editor xml:id="serie-author-0001"><persName><forename type="first">Takeo</forename><surname>Kanade</surname></persName><affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation></editor><editor xml:id="serie-author-0002"><persName><forename type="first">Josef</forename><surname>Kittler</surname></persName><affiliation>University of Surrey, Guildford, UK</affiliation></editor><editor xml:id="serie-author-0003"><persName><forename type="first">Jon</forename><forename type="first">M.</forename><surname>Kleinberg</surname></persName><affiliation>Cornell University, Ithaca, NY, USA</affiliation></editor><editor xml:id="serie-author-0004"><persName><forename type="first">Friedemann</forename><surname>Mattern</surname></persName><affiliation>ETH Zurich, Zurich, Switzerland</affiliation></editor><editor xml:id="serie-author-0005"><persName><forename type="first">John</forename><forename type="first">C.</forename><surname>Mitchell</surname></persName><affiliation>Stanford University, Stanford, CA, USA</affiliation></editor><editor xml:id="serie-author-0006"><persName><forename type="first">Moni</forename><surname>Naor</surname></persName><affiliation>Weizmann Institute of Science, Rehovot, Israel</affiliation></editor><editor xml:id="serie-author-0007"><persName><forename type="first">Oscar</forename><surname>Nierstrasz</surname></persName><affiliation>University of Bern, Bern, Switzerland</affiliation></editor><editor xml:id="serie-author-0008"><persName><forename type="first">C.</forename><surname>Pandu Rangan</surname></persName><affiliation>Indian Institute of Technology, Madras, India</affiliation></editor><editor xml:id="serie-author-0009"><persName><forename type="first">Bernhard</forename><surname>Steffen</surname></persName><affiliation>University of Dortmund, Dortmund, Germany</affiliation></editor><editor xml:id="serie-author-0010"><persName><forename type="first">Madhu</forename><surname>Sudan</surname></persName><affiliation>Massachusetts Institute of Technology, MA, USA</affiliation></editor><editor xml:id="serie-author-0011"><persName><forename type="first">Demetri</forename><surname>Terzopoulos</surname></persName><affiliation>University of California, Los Angeles, CA, USA</affiliation></editor><editor xml:id="serie-author-0012"><persName><forename type="first">Doug</forename><surname>Tygar</surname></persName><affiliation>University of California, Berkeley, CA, USA</affiliation></editor><editor xml:id="serie-author-0013"><persName><forename type="first">Moshe</forename><forename type="first">Y.</forename><surname>Vardi</surname></persName><affiliation>Rice University, Houston, TX, USA</affiliation></editor><editor xml:id="serie-author-0014"><persName><forename type="first">Gerhard</forename><surname>Weikum</surname></persName><affiliation>Max-Planck Institute of Computer Science, Saarbrücken, Germany</affiliation></editor><editor xml:id="serie-author-0015"><persName><forename type="first">Randy</forename><surname>Goebel</surname></persName><affiliation>University of Alberta, Edmonton, Canada</affiliation></editor><editor xml:id="serie-author-0016"><persName><forename type="first">Jörg</forename><surname>Siekmann</surname></persName><affiliation>University of Saarland, Saarbrücken, Germany</affiliation></editor><editor xml:id="serie-author-0017"><persName><forename type="first">Wolfgang</forename><surname>Wahlster</surname></persName><affiliation>DFKI and University of Saarland, Saarbrücken, Germany</affiliation></editor><editor xml:id="serie-author-0018"><persName><forename type="first">Léonard</forename><surname>Kwuida</surname></persName><email>kwuida@gmail.com</email><affiliation>School of Engineering, Zurich University of Applied Sciences, Technikumstraße 9, 8401, Winterthur, Switzerland</affiliation></editor><editor xml:id="serie-author-0019"><persName><forename type="first">Barış</forename><surname>Sertkaya</surname></persName><email>sertkaya@tcs.inf.tu-dresden.de</email><affiliation>SAP Research Center, Chemnitzer Straße 48, 01187, Dresden, Germany</affiliation></editor><idno type="pISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><biblScope unit="seriesId">1244</biblScope></series></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2010</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Abstract: A feature of Formal Concept Analysis is the use of the line diagram of the concept lattice to visualize a conceptual space. The line diagram is a specialized form of Hasse diagram labeled with the object extents and the attribute intents. The line diagram is usually drawn so that its rendering maximizes symmetry and minimizes edge crossings. Further the line diagram is usually layered hierarchically from top to bottom. Variations of the line diagram are frowned upon in the mathematical treatment of Formal Concept Analysis but hybrid presentations of concept lattices have practical value when used in an appropriate application context. This paper surveys previous work on using line diagrams and further explores hybrid visual representations of concept lattices. It identifies connections to other visual information techniques in data mining and information visualisation that can be used to enhance Formal Concept Analysis applications.</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>I21017</label><label>I21017</label><label>I18030</label><label>I16048</label><label>I17028</label><label>M11124</label><item><term>Computer Science</term></item><item><term>Artificial Intelligence (incl. Robotics)</term></item><item><term>Artificial Intelligence (incl. 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Proceedings</BookSubTitle><BookVolumeNumber>5986</BookVolumeNumber><BookSequenceNumber>5986</BookSequenceNumber><BookDOI>10.1007/978-3-642-11928-6</BookDOI><BookTitleID>209666</BookTitleID><BookPrintISBN>978-3-642-11927-9</BookPrintISBN><BookElectronicISBN>978-3-642-11928-6</BookElectronicISBN><BookChapterCount>22</BookChapterCount><BookCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2010</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I21017" Priority="1" Type="Secondary">Artificial Intelligence (incl. Robotics)</BookSubject><BookSubject Code="I21017" Priority="2" Type="Secondary">Artificial Intelligence (incl. Robotics)</BookSubject><BookSubject Code="I18030" Priority="3" Type="Secondary">Data Mining and Knowledge Discovery</BookSubject><BookSubject Code="I16048" Priority="4" Type="Secondary">Mathematical Logic and Formal Languages</BookSubject><BookSubject Code="I17028" Priority="5" Type="Secondary">Discrete Mathematics in Computer Science</BookSubject><BookSubject Code="M11124" Priority="6" Type="Secondary">Order, Lattices, Ordered Algebraic Structures</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID><SubSeriesID>1244</SubSeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff19"><EditorName DisplayOrder="Western"><GivenName>Léonard</GivenName><FamilyName>Kwuida</FamilyName></EditorName><Contact><Email>kwuida@gmail.com</Email></Contact></Editor><Editor AffiliationIDS="Aff20"><EditorName DisplayOrder="Western"><GivenName>Barış</GivenName><FamilyName>Sertkaya</FamilyName></EditorName><Contact><Email>sertkaya@tcs.inf.tu-dresden.de</Email></Contact></Editor><Affiliation ID="Aff19"><OrgDivision>School of Engineering</OrgDivision><OrgName>Zurich University of Applied Sciences</OrgName><OrgAddress><Street>Technikumstraße 9</Street><Postcode>8401</Postcode><City>Winterthur</City><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff20"><OrgName>SAP Research Center</OrgName><OrgAddress><Street>Chemnitzer Straße 48</Street><Postcode>01187</Postcode><City>Dresden</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part2"><PartInfo TocLevels="0"><PartID>2</PartID><PartSequenceNumber>2</PartSequenceNumber><PartTitle>Regular Contributions</PartTitle><PartChapterCount>17</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Formal Concept Analysis</BookTitle></PartContext></PartInfo><Chapter ID="Chap21" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>21</ChapterID><ChapterDOI>10.1007/978-3-642-11928-6_21</ChapterDOI><ChapterSequenceNumber>21</ChapterSequenceNumber><ChapterTitle Language="En">A Survey of Hybrid Representations of Concept Lattices in Conceptual Knowledge Processing</ChapterTitle><ChapterFirstPage>296</ChapterFirstPage><ChapterLastPage>311</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2010</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>2</PartID><BookID>978-3-642-11928-6</BookID><BookTitle>Formal Concept Analysis</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff21"><AuthorName DisplayOrder="Western"><GivenName>Peter</GivenName><FamilyName>Eklund</FamilyName></AuthorName><Contact><Email>peklund@uow.edu.au</Email></Contact></Author><Author AffiliationIDS="Aff22"><AuthorName DisplayOrder="Western"><GivenName>Jean</GivenName><FamilyName>Villerd</FamilyName></AuthorName><Contact><Email>jean.villerd@loria.fr</Email></Contact></Author><Affiliation ID="Aff21"><OrgDivision>School of Information Systems and Technology</OrgDivision><OrgName>University of Wollongong</OrgName><OrgAddress><Country>Australia</Country></OrgAddress></Affiliation><Affiliation ID="Aff22"><OrgName>LORIA – INRIA Nancy - Grand Est Research Centre</OrgName><OrgAddress><City>Nancy</City><Country>France</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>A feature of Formal Concept Analysis is the use of the line diagram of the concept lattice to visualize a conceptual space. The line diagram is a specialized form of Hasse diagram labeled with the object extents and the attribute intents. The line diagram is usually drawn so that its rendering maximizes symmetry and minimizes edge crossings. Further the line diagram is usually layered hierarchically from top to bottom. Variations of the line diagram are frowned upon in the mathematical treatment of Formal Concept Analysis but hybrid presentations of concept lattices have practical value when used in an appropriate application context. This paper surveys previous work on using line diagrams and further explores hybrid visual representations of concept lattices. It identifies connections to other visual information techniques in data mining and information visualisation that can be used to enhance Formal Concept Analysis applications.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>A Survey of Hybrid Representations of Concept Lattices in Conceptual Knowledge Processing</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>A Survey of Hybrid Representations of Concept Lattices in Conceptual Knowledge Processing</title></titleInfo><name type="personal"><namePart type="given">Peter</namePart><namePart type="family">Eklund</namePart><affiliation>School of Information Systems and Technology, University of Wollongong, Australia</affiliation><affiliation>E-mail: peklund@uow.edu.au</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Jean</namePart><namePart type="family">Villerd</namePart><affiliation>LORIA – INRIA Nancy - Grand Est Research Centre, Nancy, France</affiliation><affiliation>E-mail: jean.villerd@loria.fr</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre displayLabel="OriginalPaper" authority="ISTEX" authorityURI="https://content-type.data.istex.fr" type="conference" valueURI="https://content-type.data.istex.fr/ark:/67375/XTP-BFHXPBJJ-3">conference</genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2010</dateIssued><dateIssued encoding="w3cdtf">2010</dateIssued><copyrightDate encoding="w3cdtf">2010</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><abstract lang="en">Abstract: A feature of Formal Concept Analysis is the use of the line diagram of the concept lattice to visualize a conceptual space. The line diagram is a specialized form of Hasse diagram labeled with the object extents and the attribute intents. The line diagram is usually drawn so that its rendering maximizes symmetry and minimizes edge crossings. Further the line diagram is usually layered hierarchically from top to bottom. Variations of the line diagram are frowned upon in the mathematical treatment of Formal Concept Analysis but hybrid presentations of concept lattices have practical value when used in an appropriate application context. This paper surveys previous work on using line diagrams and further explores hybrid visual representations of concept lattices. It identifies connections to other visual information techniques in data mining and information visualisation that can be used to enhance Formal Concept Analysis applications.</abstract><relatedItem type="host"><titleInfo><title>Formal Concept Analysis</title><subTitle>8th International Conference, ICFCA 2010, Agadir, Morocco, March 15-18, 2010. Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Léonard</namePart><namePart type="family">Kwuida</namePart><affiliation>School of Engineering, Zurich University of Applied Sciences, Technikumstraße 9, 8401, Winterthur, Switzerland</affiliation><affiliation>E-mail: kwuida@gmail.com</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Barış</namePart><namePart type="family">Sertkaya</namePart><affiliation>SAP Research Center, Chemnitzer Straße 48, 01187, Dresden, Germany</affiliation><affiliation>E-mail: sertkaya@tcs.inf.tu-dresden.de</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="book-series" displayLabel="Proceedings" authority="ISTEX" authorityURI="https://publication-type.data.istex.fr" valueURI="https://publication-type.data.istex.fr/ark:/67375/JMC-0G6R5W5T-Z">book-series</genre><originInfo><publisher>Springer</publisher><copyrightDate encoding="w3cdtf">2010</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="I21017">Artificial Intelligence (incl. Robotics)</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. 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type="BookSequenceNumber">5986</identifier><identifier type="PartChapterCount">17</identifier><part><date>2010</date><detail type="part"><title>Regular Contributions</title></detail><detail type="volume"><number>5986</number><caption>vol.</caption></detail><extent unit="pages"><start>296</start><end>311</end></extent></part><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2010</recordOrigin></recordInfo></relatedItem><relatedItem type="series"><titleInfo><title>Lecture Notes in Computer Science</title></titleInfo><name type="personal"><namePart type="given">David</namePart><namePart type="family">Hutchison</namePart><affiliation>Lancaster University, Lancaster, UK</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Takeo</namePart><namePart type="family">Kanade</namePart><affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Josef</namePart><namePart type="family">Kittler</namePart><affiliation>University of Surrey, Guildford, UK</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jon</namePart><namePart type="given">M.</namePart><namePart type="family">Kleinberg</namePart><affiliation>Cornell University, Ithaca, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Friedemann</namePart><namePart type="family">Mattern</namePart><affiliation>ETH Zurich, Zurich, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">John</namePart><namePart type="given">C.</namePart><namePart type="family">Mitchell</namePart><affiliation>Stanford University, Stanford, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart 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