InforLorV4, PascalFrancis, Corpus, bibRecord, 000177

Construction et usage d'une ontologie de compétences pour l'identification de réseaux collaboratifs d'entreprises

Identifieur interne : 000177 ( PascalFrancis/Corpus ); précédent : 000176; suivant : 000178

Construction et usage d'une ontologie de compétences pour l'identification de réseaux collaboratifs d'entreprises

Auteurs : Kafil Hajlaoui ; Xavier Boucher ; Michel Beigbeder

Source :

Ingénierie des systèmes d'information : (2001) [ 1633-1311 ] ; 2010.

RBID : Pascal:11-0080419

Descripteurs français

Pascal (Inist)
- Système information, Ontologie, Prise de décision, Extraction information, Internet, Entreprise numérique, Compétence professionnelle, Sémantique, ..

English descriptors

KwdEn :
- Decision making, Digital enterprise, Information extraction, Information system, Internet, Ontology, Professional competence, Semantics.

Abstract

The goal of this research is to contribute to the implementation of decision-making aids for the constitution of company networks. The paper focuses on information extraction mechanisms required before applying decision-making approaches. As a base assumption, we work on an open universe of partners, composed by Internet network. The objective is to extract key information on competences characterizing potential partners, in order to later analyze similarities among company's competence profiles. Competence similarity is one of the main parameters to be considered when building collaborative networks. The paper first highlights the method followed to build the competence ontology used for this work. Then, "semantic patterns" are proposed, to make the best use of the ontology, when extracting company competence traces.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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A11	`01`	`1`		`@1 HAJLAOUI (Kafil)`
A11	`02`	`1`		`@1 BOUCHER (Xavier)`
A11	`03`	`1`		`@1 BEIGBEDER (Michel)`
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C01	`01`		`ENG`	@0 The goal of this research is to contribute to the implementation of decision-making aids for the constitution of company networks. The paper focuses on information extraction mechanisms required before applying decision-making approaches. As a base assumption, we work on an open universe of partners, composed by Internet network. The objective is to extract key information on competences characterizing potential partners, in order to later analyze similarities among company's competence profiles. Competence similarity is one of the main parameters to be considered when building collaborative networks. The paper first highlights the method followed to build the competence ontology used for this work. Then, "semantic patterns" are proposed, to make the best use of the ontology, when extracting company competence traces.
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Format Inist (serveur)

NO :	PASCAL 11-0080419 INIST
FT :	Construction et usage d'une ontologie de compétences pour l'identification de réseaux collaboratifs d'entreprises
ET :	(Competence ontology to support the identification of collaborative enterprise networks)
AU :	HAJLAOUI (Kafil); BOUCHER (Xavier); BEIGBEDER (Michel); NURCAN (Selmin); BENALI (Khalid); PINGAUD (Hervé)
AF :	Ecole Nationale Supérieure des Mines de Saint-Etienne, 158 cours Fauriel/42023 Saint-Etienne/France (1 aut., 2 aut., 3 aut.); CRI, Univ. Paris 1 Panthéon Sorbonne/France (1 aut.); LORIA, Nancy Université/France (2 aut.); Ecole des Mines/Albi/France (3 aut.)
DT :	Publication en série; Niveau analytique
SO :	Ingénierie des systèmes d'information : (2001); ISSN 1633-1311; France; Da. 2010; Vol. 15; No. 4; Pp. 139-163; Abs. anglais; Bibl. 2 p.1/4
LA :	Français
EA :	The goal of this research is to contribute to the implementation of decision-making aids for the constitution of company networks. The paper focuses on information extraction mechanisms required before applying decision-making approaches. As a base assumption, we work on an open universe of partners, composed by Internet network. The objective is to extract key information on competences characterizing potential partners, in order to later analyze similarities among company's competence profiles. Competence similarity is one of the main parameters to be considered when building collaborative networks. The paper first highlights the method followed to build the competence ontology used for this work. Then, "semantic patterns" are proposed, to make the best use of the ontology, when extracting company competence traces.
CC :	001D02B04; 001D02B07D
FD :	Système information; Ontologie; Prise de décision; Extraction information; Internet; Entreprise numérique; Compétence professionnelle; Sémantique; .
ED :	Information system; Ontology; Decision making; Information extraction; Internet; Digital enterprise; Professional competence; Semantics
SD :	Sistema información; Ontología; Toma decision; Extracción información; Internet; Empresa Numérica; Perfil profesional; Semántica
LO :	INIST-26729.354000194229720060
ID :	11-0080419

Links to Exploration step

Pascal:11-0080419

Le document en format XML

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<EA>The goal of this research is to contribute to the implementation of decision-making aids for the constitution of company networks. The paper focuses on information extraction mechanisms required before applying decision-making approaches. As a base assumption, we work on an open universe of partners, composed by Internet network. The objective is to extract key information on competences characterizing potential partners, in order to later analyze similarities among company's competence profiles. Competence similarity is one of the main parameters to be considered when building collaborative networks. The paper first highlights the method followed to build the competence ontology used for this work. Then, "semantic patterns" are proposed, to make the best use of the ontology, when extracting company competence traces.</EA>
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<SD>Sistema información; Ontología; Toma decision; Extracción información; Internet; Empresa Numérica; Perfil profesional; Semántica</SD>
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   |texte=   Construction et usage d'une ontologie de compétences pour l'identification de réseaux collaboratifs d'entreprises
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Construction et usage d'une ontologie de compétences pour l'identification de réseaux collaboratifs d'entreprises

Construction et usage d'une ontologie de compétences pour l'identification de réseaux collaboratifs d'entreprises

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