A Survey of Hybrid Representations of Concept Lattices in Conceptual Knowledge Processing
Identifieur interne : 007048 ( Main/Exploration ); précédent : 007047; suivant : 007049A Survey of Hybrid Representations of Concept Lattices in Conceptual Knowledge Processing
Auteurs : Peter Eklund [Australie] ; Jean Villerd [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
Descripteurs français
- Wicri :
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
Affiliations:
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Grand Est Research Centre, Nancy</wicri:regionArea><placeName><region type="region">Grand Est</region><region type="old region">Lorraine (région)</region><settlement type="city">Nancy</settlement></placeName></affiliation><affiliation wicri:level="1"><country wicri:rule="url">France</country></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2010</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Additive line diagram</term><term>Additive line diagrams</term><term>Attraction force</term><term>Attribute</term><term>Background layers</term><term>Binary</term><term>Binary attributes</term><term>Computer science</term><term>Concept hierarchies</term><term>Concept hierarchy</term><term>Concept lattice</term><term>Concept lattices</term><term>Conceptual</term><term>Conceptual knowledge processing</term><term>Conceptual structures</term><term>Corresponding line diagram</term><term>Data discovery</term><term>Data mining</term><term>Diagram</term><term>Ducrou</term><term>Edge crossings</term><term>Eklund</term><term>Euclidian distances</term><term>Extent cardinality</term><term>Flight time days</term><term>Formal concept</term><term>Formal concept analysis</term><term>Formal concepts</term><term>Hasse diagram</term><term>Heidelberg</term><term>Hybrid</term><term>Hybrid approach</term><term>Hybrid representations</term><term>Iceberg lattices</term><term>Information retrieval</term><term>Information science</term><term>Information technology</term><term>Information visualization</term><term>Intelligent user interface</term><term>Lattice</term><term>Lattice diagram</term><term>Layer shading</term><term>Line diagram</term><term>Line diagrams</term><term>Line segment</term><term>Line segments</term><term>Lnai</term><term>Lncs</term><term>Lower neighbors</term><term>Nominal attributes</term><term>Numerical attributes</term><term>Object extents</term><term>Object name</term><term>Other hand</term><term>Repulsion force</term><term>Retrieval</term><term>Second approach</term><term>Similarity measures</term><term>Small circles</term><term>Spring embedder model</term><term>Springer</term><term>Stumme</term><term>Upper neighbors</term><term>Villerd</term><term>Virtual museum</term><term>Visualization</term><term>Wille</term></keywords><keywords scheme="Teeft" xml:lang="en"><term>Additive line diagram</term><term>Additive line diagrams</term><term>Attraction force</term><term>Attribute</term><term>Background layers</term><term>Binary</term><term>Binary attributes</term><term>Computer science</term><term>Concept hierarchies</term><term>Concept hierarchy</term><term>Concept lattice</term><term>Concept lattices</term><term>Conceptual</term><term>Conceptual knowledge processing</term><term>Conceptual structures</term><term>Corresponding line diagram</term><term>Data discovery</term><term>Data mining</term><term>Diagram</term><term>Ducrou</term><term>Edge crossings</term><term>Eklund</term><term>Euclidian distances</term><term>Extent cardinality</term><term>Flight time days</term><term>Formal concept</term><term>Formal concept analysis</term><term>Formal concepts</term><term>Hasse diagram</term><term>Heidelberg</term><term>Hybrid</term><term>Hybrid approach</term><term>Hybrid representations</term><term>Iceberg lattices</term><term>Information retrieval</term><term>Information science</term><term>Information technology</term><term>Information visualization</term><term>Intelligent user interface</term><term>Lattice</term><term>Lattice diagram</term><term>Layer shading</term><term>Line diagram</term><term>Line diagrams</term><term>Line segment</term><term>Line segments</term><term>Lnai</term><term>Lncs</term><term>Lower neighbors</term><term>Nominal attributes</term><term>Numerical attributes</term><term>Object extents</term><term>Object name</term><term>Other hand</term><term>Repulsion force</term><term>Retrieval</term><term>Second approach</term><term>Similarity measures</term><term>Small circles</term><term>Spring embedder model</term><term>Springer</term><term>Stumme</term><term>Upper neighbors</term><term>Villerd</term><term>Virtual museum</term><term>Visualization</term><term>Wille</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Science de l'information</term><term>Technologie de l'information</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml: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. 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