A Proposal for Combining Formal Concept Analysis and Description Logics for Mining Relational Data
Identifieur interne : 004A02 ( Main/Exploration ); précédent : 004A01; suivant : 004A03A Proposal for Combining Formal Concept Analysis and Description Logics for Mining Relational Data
Auteurs : Amine Mohamed Rouane Hacene [France] ; Marianne Huchard [France] ; Amedeo Napoli [France] ; Petko Valtchev [Canada]Source :
English descriptors
Abstract
Recent advances in data and knowledge engineering have emphasized the need for formal concept analysis (FCA) tools taking into account structured data. There are a few adaptations of the classical FCA methodology for handling contexts holding on complex data formats, e.g. graph-based or relational data. In this paper, relational concept analy- sis (RCA) is proposed, as an adaptation of FCA for analyzing ob jects described both by binary and relational attributes. The RCA process takes as input a collection of contexts and of inter-context relations, and yields a set of lattices, one per context, whose concepts are linked by relations. Moreover, a way of representing the concepts and relations ex- tracted with RCA is proposed in the framework of a description logic. The RCA process has been implemented within the Galicia platform, offering new and efficient tools for knowledge and software engineering.
Url:
Affiliations:
- Canada, France
- Grand Est, Lorraine (région)
- Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: 000410
- to stream Hal, to step Curation: 000410
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- to stream Main, to step Merge: 004B51
- to stream Main, to step Curation: 004A02
Le document en format XML
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type="acronym">Inria</orgName><desc><address><addrLine>Domaine de VoluceauRocquencourt - BP 10578153 Le Chesnay Cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/en/</ref></desc></org></tutelle><tutelle active="#struct-300291" type="indirect"><org type="institution" xml:id="struct-300291" status="OLD"><orgName>Université Henri Poincaré - Nancy 1</orgName><orgName type="acronym">UHP</orgName><date type="end">2011-12-31</date><desc><address><addrLine>24-30 rue Lionnois, BP 60120, 54 003 NANCY cedex, France</addrLine><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-300292" type="indirect"><org type="institution" xml:id="struct-300292" status="OLD"><orgName>Université Nancy 2</orgName><date type="end">2011-12-31</date><desc><address><addrLine>91 avenue de la Libération, BP 454, 54001 Nancy cedex</addrLine><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-300293" 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><author><name sortKey="Valtchev, Petko" sort="Valtchev, Petko" uniqKey="Valtchev P" first="Petko" last="Valtchev">Petko Valtchev</name><affiliation wicri:level="1"><hal:affiliation type="laboratory" xml:id="struct-38354" status="VALID"><orgName>Département d'informatique [Canada]</orgName><orgName type="acronym">UQAM</orgName><desc><address><country key="CA"></country></address></desc><listRelation><relation active="#struct-360045" type="direct"></relation></listRelation><tutelles><tutelle active="#struct-360045" type="direct"><org type="institution" xml:id="struct-360045" status="VALID"><orgName>Université du Québec à Montréal </orgName><orgName type="acronym">UQAM</orgName><desc><address><addrLine>Université du Québec à MontréalCase postale 8888, succursale Centre-villeMontréal (Québec) H3C 3P8 Canada</addrLine><country key="CA"></country></address><ref type="url">http://www.uqam.ca/en/about/presentation_en.htm</ref></desc></org></tutelle></tutelles></hal:affiliation><country>Canada</country></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>Formal Concept Analysis</term><term>Galois lattice</term><term>data mining</term><term>description logics</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Recent advances in data and knowledge engineering have emphasized the need for formal concept analysis (FCA) tools taking into account structured data. There are a few adaptations of the classical FCA methodology for handling contexts holding on complex data formats, e.g. graph-based or relational data. In this paper, relational concept analy- sis (RCA) is proposed, as an adaptation of FCA for analyzing ob jects described both by binary and relational attributes. The RCA process takes as input a collection of contexts and of inter-context relations, and yields a set of lattices, one per context, whose concepts are linked by relations. Moreover, a way of representing the concepts and relations ex- tracted with RCA is proposed in the framework of a description logic. The RCA process has been implemented within the Galicia platform, offering new and efficient tools for knowledge and software engineering.</div></front></TEI><affiliations><list><country><li>Canada</li><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Nancy</li></settlement><orgName><li>Institut national polytechnique de Lorraine</li><li>Université Nancy 2</li><li>Université de Lorraine</li></orgName></list><tree><country name="France"><region name="Grand Est"><name sortKey="Rouane Hacene, Amine Mohamed" sort="Rouane Hacene, Amine Mohamed" uniqKey="Rouane Hacene A" first="Amine Mohamed" last="Rouane Hacene">Amine Mohamed Rouane Hacene</name></region><name sortKey="Huchard, Marianne" sort="Huchard, Marianne" uniqKey="Huchard M" first="Marianne" last="Huchard">Marianne Huchard</name><name sortKey="Napoli, Amedeo" sort="Napoli, Amedeo" uniqKey="Napoli A" first="Amedeo" last="Napoli">Amedeo Napoli</name></country><country name="Canada"><noRegion><name sortKey="Valtchev, Petko" sort="Valtchev, Petko" uniqKey="Valtchev P" first="Petko" last="Valtchev">Petko Valtchev</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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