Application of EQuA2te Architecture in Economic Intelligence
Identifieur interne : 000F24 ( Hal/Corpus ); précédent : 000F23; suivant : 000F25Application of EQuA2te Architecture in Economic Intelligence
Auteurs : Amos David ; Odile ThierySource :
Descripteurs français
- mix :
- analyse, analysis, annotation, economic intelligence, evocative habits, exploration, habitude evocative, intelligence économique, learning process, modélisation de l'utilisateur, processus d'apprentissage, query, requête, strategic information system, système d'information stratégique, user modelling.
Abstract
Economic Intelligence can be considered as the use of information for strategic decision making. From this point of view, it can be considered as a process covering two established scientific domains: information systems and decision making. Moreover, Economic Intelligence concerns all socio-economic sectors and not restricted only to companies or industries. A system that combines the proposals in Information System Aided Decision Making and User Modelling is what we term Economic Intelligence System. This paper presents our work on the use of Information Systems as a component of Economic Intelligent System through the EQuA2te (Explore, Query, Analyse and Annotate) architecture. Our work started by the study of the student modelling in computer aided education in which we proposed a model based on the evocative habits of a learner. When used as a problem solving tool, an Information System Aided Decision Making is very similar to a computer aided education system as regards their cognitive functional characteristics. We also present the use of the EQuA2te architecture for managing the information base and the knowledge on the various actors. We conclude with a brief presentation on the various topics on which we are working as a continuation of the work presented here.
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Hal:inria-00100834Le document en format XML
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From this point of view, it can be considered as a process covering two established scientific domains: information systems and decision making. Moreover, Economic Intelligence concerns all socio-economic sectors and not restricted only to companies or industries. A system that combines the proposals in Information System Aided Decision Making and User Modelling is what we term Economic Intelligence System. This paper presents our work on the use of Information Systems as a component of Economic Intelligent System through the EQuA2te (Explore, Query, Analyse and Annotate) architecture. Our work started by the study of the student modelling in computer aided education in which we proposed a model based on the evocative habits of a learner. When used as a problem solving tool, an Information System Aided Decision Making is very similar to a computer aided education system as regards their cognitive functional characteristics. We also present the use of the EQuA2te architecture for managing the information base and the knowledge on the various actors. We conclude with a brief presentation on the various topics on which we are working as a continuation of the work presented here.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">Application of EQuA2te Architecture in Economic Intelligence</title><author role="aut"><persName><forename type="first">Amos</forename><surname>David</surname></persName><email>Amos.David@loria.fr</email><idno type="halauthor">172883</idno><orgName ref="#struct-300292"></orgName><affiliation ref="#struct-2493"></affiliation></author><author role="aut"><persName><forename type="first">Odile</forename><surname>Thiery</surname></persName><email></email><idno type="halauthor">172882</idno><orgName ref="#struct-300292"></orgName><affiliation ref="#struct-2493"></affiliation></author><editor role="depositor"><persName><forename>Publications</forename><surname>Loria</surname></persName><email>publications@loria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2006-09-26 14:52:16</date><date type="whenModified">2016-05-19 01:05:36</date><date type="whenReleased">2006-09-28 15:22:47</date><date type="whenProduced">2002-08</date></edition><respStmt><resp>contributor</resp><name key="108626"><persName><forename>Publications</forename><surname>Loria</surname></persName><email>publications@loria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00100834</idno><idno type="halUri">https://hal.inria.fr/inria-00100834</idno><idno type="halBibtex">david:inria-00100834</idno><idno type="halRefHtml">Information and Communication Technologies applied to Economic Intelligence - 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ICTEI'2002</title><date type="start">2002-08</date><settlement>Ibadan, Nigeria</settlement></meeting><respStmt><resp>conferenceOrganizer</resp><name>Université Nancy 2 - University of Ibadan</name></respStmt><imprint><biblScope unit="pp">6 p</biblScope><date type="datePub">2002-08</date></imprint></monogr></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><textClass><keywords scheme="author"><term xml:lang="fr">evocative habits</term><term xml:lang="fr">query</term><term xml:lang="fr">analysis</term><term xml:lang="fr">annotation</term><term xml:lang="fr">economic intelligence</term><term xml:lang="fr">strategic information system</term><term xml:lang="fr">user modelling</term><term xml:lang="fr">learning process</term><term xml:lang="fr">requête</term><term xml:lang="fr">analyse</term><term xml:lang="fr">intelligence économique</term><term xml:lang="fr">système d'information stratégique</term><term xml:lang="fr">modélisation de l'utilisateur</term><term xml:lang="fr">processus d'apprentissage</term><term xml:lang="fr">habitude evocative</term><term xml:lang="fr">exploration</term></keywords><classCode scheme="halDomain" n="info.info-oh">Computer Science [cs]/Other [cs.OH]</classCode><classCode scheme="halTypology" n="COMM">Conference papers</classCode></textClass><abstract xml:lang="en">Economic Intelligence can be considered as the use of information for strategic decision making. From this point of view, it can be considered as a process covering two established scientific domains: information systems and decision making. Moreover, Economic Intelligence concerns all socio-economic sectors and not restricted only to companies or industries. A system that combines the proposals in Information System Aided Decision Making and User Modelling is what we term Economic Intelligence System. This paper presents our work on the use of Information Systems as a component of Economic Intelligent System through the EQuA2te (Explore, Query, Analyse and Annotate) architecture. Our work started by the study of the student modelling in computer aided education in which we proposed a model based on the evocative habits of a learner. When used as a problem solving tool, an Information System Aided Decision Making is very similar to a computer aided education system as regards their cognitive functional characteristics. We also present the use of the EQuA2te architecture for managing the information base and the knowledge on the various actors. We conclude with a brief presentation on the various topics on which we are working as a continuation of the work presented here.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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