Extending Attribute Dependencies for Lattice-Based Querying and Navigation
Identifieur interne : 003240 ( Hal/Checkpoint ); précédent : 003239; suivant : 003241Extending Attribute Dependencies for Lattice-Based Querying and Navigation
Auteurs : Nizar Messai [France] ; Marie-Dominique Devignes [France] ; Amedeo Napoli [France] ; Malika Smaïl-Tabbone [France]Source :
Abstract
In this paper we study dependencies of attributes in the context of Formal Concept Analysis. These dependencies allow to define a hierarchy of attributes reflecting the importance or interest in attributes. A hierarchy of attributes is a set of attributes partially ordered with respect to their importance. It represents domain knowledge used to improve lattice-based querying and navigation. Actually, in lattice-based querying, hierarchies of attributes are used to define complex queries containing attributes with different levels of importance: more important attributes define the focus of the retrieval while less important ones define secondary information whose presence is desirable in the answers. Furthermore, the relation between attributes in a complex query represents implicit or explicit knowledge units that must be considered while computing answers. Similarly, in lattice-based navigation, the choice of moving to a particular concept rather than to another is influenced by the higher importance of the attributes in the concept intent. Hence, the design and use of a hierarchy of attributes leads to a navigation guided by domain knowledge.
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DOI: 10.1007/978-3-540-70596-3_13
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type="indirect"><org type="institution" xml:id="struct-300293" status="OLD"><orgName>Institut National Polytechnique de Lorraine</orgName><orgName type="acronym">INPL</orgName><date type="end">2011-12-31</date><desc><address><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-2496" type="direct"><org type="laboratory" xml:id="struct-2496" status="OLD"><orgName>INRIA Lorraine</orgName><desc><address><addrLine>615 rue du Jardin Botanique 54600 Villers-lès-Nancy</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/centre-de-recherche-inria/nancy-grand-est</ref></desc><listRelation><relation active="#struct-300009" type="direct"></relation></listRelation></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université Nancy 2</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author></analytic><idno type="DOI">10.1007/978-3-540-70596-3_13</idno></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In this paper we study dependencies of attributes in the context of Formal Concept Analysis. These dependencies allow to define a hierarchy of attributes reflecting the importance or interest in attributes. A hierarchy of attributes is a set of attributes partially ordered with respect to their importance. It represents domain knowledge used to improve lattice-based querying and navigation. Actually, in lattice-based querying, hierarchies of attributes are used to define complex queries containing attributes with different levels of importance: more important attributes define the focus of the retrieval while less important ones define secondary information whose presence is desirable in the answers. Furthermore, the relation between attributes in a complex query represents implicit or explicit knowledge units that must be considered while computing answers. Similarly, in lattice-based navigation, the choice of moving to a particular concept rather than to another is influenced by the higher importance of the attributes in the concept intent. Hence, the design and use of a hierarchy of attributes leads to a navigation guided by domain knowledge.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">Extending Attribute Dependencies for Lattice-Based Querying and Navigation</title><author role="aut"><persName><forename type="first">Nizar</forename><surname>Messai</surname></persName><email>Nizar.Messai@loria.fr</email><idno type="idhal">nizar-messai</idno><idno type="halauthor">52673</idno><affiliation ref="#struct-2358"></affiliation></author><author role="aut"><persName><forename type="first">Marie-Dominique</forename><surname>Devignes</surname></persName><email>devignes@loria.fr</email><idno type="halauthor">52674</idno><affiliation ref="#struct-2358"></affiliation></author><author role="aut"><persName><forename type="first">Amedeo</forename><surname>Napoli</surname></persName><email></email><idno type="halauthor">52676</idno><affiliation ref="#struct-2358"></affiliation></author><author role="aut"><persName><forename type="first">Malika</forename><surname>Smaïl-Tabbone</surname></persName><email>malika@loria.fr</email><idno type="idhal">malika-smail-tabbone</idno><idno type="halauthor">62326</idno><affiliation ref="#struct-2358"></affiliation></author><editor role="depositor"><persName><forename>Malika</forename><surname>Smail-Tabbone</surname></persName><email>Malika.Smail@loria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2008-11-13 23:36:44</date><date type="whenModified">2016-05-18 08:54:41</date><date type="whenReleased">2008-11-13 23:36:44</date><date type="whenProduced">2008-07-07</date></edition><respStmt><resp>contributor</resp><name key="103146"><persName><forename>Malika</forename><surname>Smail-Tabbone</surname></persName><email>Malika.Smail@loria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00338678</idno><idno type="halUri">https://hal.inria.fr/inria-00338678</idno><idno type="halBibtex">messai:inria-00338678</idno><idno type="halRefHtml">Peter W. Eklund and Ollivier Haemmerlé. 16th International Conference on Conceptual Structures - ICCS 2008, Jul 2008, Toulouse, France. Springer, 5113, pp.189-202, 2008, <10.1007/978-3-540-70596-3_13></idno><idno type="halRef">Peter W. Eklund and Ollivier Haemmerlé. 16th International Conference on Conceptual Structures - ICCS 2008, Jul 2008, Toulouse, France. Springer, 5113, pp.189-202, 2008, <10.1007/978-3-540-70596-3_13></idno></publicationStmt><seriesStmt><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno><idno type="stamp" n="LORIA2">Publications du LORIA</idno><idno type="stamp" n="INRIA-NANCY-GRAND-EST">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno><idno type="stamp" n="LORIA-TALC" p="LORIA">Traitement automatique des langues et des connaissances</idno><idno type="stamp" n="INRIA-LORRAINE">INRIA Nancy - Grand Est</idno><idno type="stamp" n="INRIA2">INRIA 2</idno><idno type="stamp" n="LABO-LORIA-SET" p="LORIA">LABO-LORIA-SET</idno><idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno></seriesStmt><notesStmt><note type="audience" n="2">International</note><note type="invited" n="0">No</note><note type="popular" n="0">No</note><note type="peer" n="1">Yes</note><note type="proceedings" n="1">Yes</note></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Extending Attribute Dependencies for Lattice-Based Querying and Navigation</title><author role="aut"><persName><forename type="first">Nizar</forename><surname>Messai</surname></persName><email>Nizar.Messai@loria.fr</email><idno type="idHal">nizar-messai</idno><idno type="halAuthorId">52673</idno><affiliation ref="#struct-2358"></affiliation></author><author role="aut"><persName><forename type="first">Marie-Dominique</forename><surname>Devignes</surname></persName><email>devignes@loria.fr</email><idno type="halAuthorId">52674</idno><affiliation ref="#struct-2358"></affiliation></author><author role="aut"><persName><forename type="first">Amedeo</forename><surname>Napoli</surname></persName><idno type="halAuthorId">52676</idno><affiliation ref="#struct-2358"></affiliation></author><author role="aut"><persName><forename type="first">Malika</forename><surname>Smaïl-Tabbone</surname></persName><email>malika@loria.fr</email><idno type="idHal">malika-smail-tabbone</idno><idno type="halAuthorId">62326</idno><affiliation ref="#struct-2358"></affiliation></author></analytic><monogr><meeting><title>16th International Conference on Conceptual Structures - ICCS 2008</title><date type="start">2008-07-07</date><settlement>Toulouse</settlement><country key="FR">France</country></meeting><editor>Peter W. Eklund and Ollivier Haemmerlé</editor><imprint><publisher>Springer</publisher><biblScope unit="volume">5113</biblScope><biblScope unit="pp">189-202</biblScope><date type="datePub">2008</date></imprint></monogr><idno type="doi">10.1007/978-3-540-70596-3_13</idno></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><textClass><classCode scheme="halDomain" n="info.info-ai">Computer Science [cs]/Artificial Intelligence [cs.AI]</classCode><classCode scheme="halTypology" n="COMM">Conference papers</classCode></textClass><abstract xml:lang="en">In this paper we study dependencies of attributes in the context of Formal Concept Analysis. These dependencies allow to define a hierarchy of attributes reflecting the importance or interest in attributes. A hierarchy of attributes is a set of attributes partially ordered with respect to their importance. It represents domain knowledge used to improve lattice-based querying and navigation. Actually, in lattice-based querying, hierarchies of attributes are used to define complex queries containing attributes with different levels of importance: more important attributes define the focus of the retrieval while less important ones define secondary information whose presence is desirable in the answers. Furthermore, the relation between attributes in a complex query represents implicit or explicit knowledge units that must be considered while computing answers. Similarly, in lattice-based navigation, the choice of moving to a particular concept rather than to another is influenced by the higher importance of the attributes in the concept intent. Hence, the design and use of a hierarchy of attributes leads to a navigation guided by domain knowledge.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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