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Decentralized case-based reasoning for the semantic web

Identifieur interne : 000546 ( PascalFrancis/Curation ); précédent : 000545; suivant : 000547

Decentralized case-based reasoning for the semantic web

Auteurs : Mathieu D'Aquin [France] ; Jean Lieber [France] ; Amedeo Napoli [France]

Source :

RBID : Pascal:06-0062759

Descripteurs français

English descriptors

Abstract

Decentralized case-based reasoning (DzCBR) is a reasoning framework that addresses the problem of adaptive reasoning in a multi-ontology environment. It is a case-based reasoning (CBR) approach which relies on contextualized ontologies in the C-OWL formalism for the representation of domain knowledge and adaptation knowledge. A context in C-OWL is used to represent a particular viewpoint, containing the knowledge needed to solve a particular local problem. Semantic relations between contexts and the associated reasoning mechanisms allow the CBR process in a particular viewpoint to reuse and share information about the problem and the already found solutions in the other viewpoints.
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A08 01  1  ENG  @1 Decentralized case-based reasoning for the semantic web
A09 01  1  ENG  @1 The Semantic Web : ISWC 2005 : 4th international semantic web conference : Galway, Ireland, November 6-10, 2005 : proceedings
A11 01  1    @1 D'AQUIN (Mathieu)
A11 02  1    @1 LIEBER (Jean)
A11 03  1    @1 NAPOLI (Amedeo)
A14 01      @1 LORIA (INRIA Lorraine, CNRS, Nancy Universities), Campus scientifique, BP 239 @2 54 506 Vandœuvre-lès-Nancy @3 FRA @Z 1 aut. @Z 2 aut. @Z 3 aut.
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A44       @0 0000 @1 © 2006 INIST-CNRS. All rights reserved.
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C01 01    ENG  @0 Decentralized case-based reasoning (DzCBR) is a reasoning framework that addresses the problem of adaptive reasoning in a multi-ontology environment. It is a case-based reasoning (CBR) approach which relies on contextualized ontologies in the C-OWL formalism for the representation of domain knowledge and adaptation knowledge. A context in C-OWL is used to represent a particular viewpoint, containing the knowledge needed to solve a particular local problem. Semantic relations between contexts and the associated reasoning mechanisms allow the CBR process in a particular viewpoint to reuse and share information about the problem and the already found solutions in the other viewpoints.
C02 01  X    @0 001D02B04
C03 01  X  FRE  @0 Système réparti @5 01
C03 01  X  ENG  @0 Distributed system @5 01
C03 01  X  SPA  @0 Sistema repartido @5 01
C03 02  X  FRE  @0 Web sémantique @5 06
C03 02  X  ENG  @0 Semantic web @5 06
C03 02  X  SPA  @0 Web semántica @5 06
C03 03  X  FRE  @0 Ontologie @5 07
C03 03  X  ENG  @0 Ontology @5 07
C03 03  X  SPA  @0 Ontología @5 07
C03 04  X  FRE  @0 Service web @5 08
C03 04  X  ENG  @0 Web service @5 08
C03 04  X  SPA  @0 Servicio web @5 08
C03 05  X  FRE  @0 Représentation connaissance @5 09
C03 05  X  ENG  @0 Knowledge representation @5 09
C03 05  X  SPA  @0 Representación conocimientos @5 09
C03 06  X  FRE  @0 Réutilisation @5 10
C03 06  X  ENG  @0 Reuse @5 10
C03 06  X  SPA  @0 Reutilización @5 10
C03 07  X  FRE  @0 Raisonnement basé sur cas @5 18
C03 07  X  ENG  @0 Case based reasoning @5 18
C03 07  X  SPA  @0 Razonamiento fundado sobre caso @5 18
C03 08  X  FRE  @0 Relation sémantique @5 19
C03 08  X  ENG  @0 Semantic relation @5 19
C03 08  X  SPA  @0 Relación semántica @5 19
C03 09  X  FRE  @0 Méthode adaptative @5 23
C03 09  X  ENG  @0 Adaptive method @5 23
C03 09  X  SPA  @0 Método adaptativo @5 23
N21       @1 037
N44 01      @1 OTO
N82       @1 OTO
pR  
A30 01  1  ENG  @1 International semantic web conference @2 4 @3 Galway IRL @4 2005-11-06

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Le document en format XML

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