Querying Relational Concept Lattices
Identifieur interne : 002090 ( Main/Merge ); précédent : 002089; suivant : 002091Querying Relational Concept Lattices
Auteurs : Zeina Azmeh [France] ; Marianne Huchard [France] ; Amedeo Napoli [France] ; Amine Mohamed Rouane Hacene [Canada] ; Petko Valtchev [Canada]Source :
English descriptors
Abstract
Relational Concept Analysis (RCA) constructs conceptual abstractions from objects described by both own properties and inter-object links, while dealing with several sorts of objects. RCA produces lattices for each category of objects and those lattices are connected via relational attributes that are abstractions of the initial links. Navigating such interrelated lattice family in order to find concepts of interest is not a trivial task due to the potentially large size of the lattices and the need to move the expert's focus from one lattice to another. In this paper, we investigate the navigation of a concept lattice family based on a query expressed by an expert. The query is defined in the terms of RCA. Thus it is either included in the contexts (modifying the lattices when feasible), or directly classified in the concept lattices. Then a navigation schema can be followed to discover solutions. Different navigation possibilities are discussed.
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Hal:lirmm-00646409Le document en format XML
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Lorraine</orgName></affiliation></author><author><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><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><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>Relational Concept Analysis</term><term>Relational Queries</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Relational Concept Analysis (RCA) constructs conceptual abstractions from objects described by both own properties and inter-object links, while dealing with several sorts of objects. RCA produces lattices for each category of objects and those lattices are connected via relational attributes that are abstractions of the initial links. Navigating such interrelated lattice family in order to find concepts of interest is not a trivial task due to the potentially large size of the lattices and the need to move the expert's focus from one lattice to another. In this paper, we investigate the navigation of a concept lattice family based on a query expressed by an expert. The query is defined in the terms of RCA. Thus it is either included in the contexts (modifying the lattices when feasible), or directly classified in the concept lattices. Then a navigation schema can be followed to discover solutions. Different navigation possibilities are discussed.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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