InforLorV4, Main, Exploration, bibRecord, 006373

Decentralized case-based reasoning for the semantic web

Identifieur interne : 006373 ( Main/Exploration ); précédent : 006372; suivant : 006374

Decentralized case-based reasoning for the semantic web

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

Source :

Lecture notes in computer science [ 0302-9743 ] ; 2005.

RBID : Pascal:06-0062759

Descripteurs français

Pascal (Inist)
- Système réparti, Web sémantique, Ontologie, Service web, Représentation connaissance, Réutilisation, Raisonnement basé sur cas, Relation sémantique, Méthode adaptative.

English descriptors

KwdEn :
- Adaptive method, Case based reasoning, Distributed system, Knowledge representation, Ontology, Reuse, Semantic relation, Semantic web, Web service.

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.

Affiliations:

France

Links toward previous steps (curation, corpus...)

to stream PascalFrancis, to step Corpus: 000487
to stream PascalFrancis, to step Curation: 000546
to stream PascalFrancis, to step Checkpoint: 000505
to stream Main, to step Merge: 006642
to stream Main, to step Curation: 006373

Le document en format XML

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<front><div type="abstract" xml:lang="en">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.</div>
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Decentralized case-based reasoning for the semantic web

Decentralized case-based reasoning for the semantic web

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri