Dynamic Capitalization and Visualization Strategy in Collaborative Knowledge Management System for EI Process
Identifieur interne : 001D53 ( Hal/Corpus ); précédent : 001D52; suivant : 001D54Dynamic Capitalization and Visualization Strategy in Collaborative Knowledge Management System for EI Process
Auteurs : Bolanle Oladejo ; Victor Odumuyiwa ; Amos DavidSource :
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Abstract
Knowledge is attributed to human whose problem-solving behavior is subjective and complex. In today's knowledge economy, the need to manage knowledge produced by a community of actors cannot be overemphasized. This is due to the fact that actors possess some level of tacit knowledge which is generally difficult to articulate. Problem-solving requires searching and sharing of knowledge among a group of actors in a particular context. Knowledge expressed within the context of a problem resolution must be capitalized for future reuse. In this paper, an approach that permits dynamic capitalization of relevant and reliable actors' knowledge in solving decision problem following Economic Intelligence process is proposed. Knowledge annotation method and temporal attributes are used for handling the complexity in the communication among actors and in contextualizing expressed knowledge. A prototype is built to demonstrate the functionalities of a collaborative Knowledge Management system based on this approach. It is tested with sample cases and the result showed that dynamic capitalization leads to knowledge validation hence increasing reliability of captured knowledge for reuse. The system can be adapted to various domains
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In today's knowledge economy, the need to manage knowledge produced by a community of actors cannot be overemphasized. This is due to the fact that actors possess some level of tacit knowledge which is generally difficult to articulate. Problem-solving requires searching and sharing of knowledge among a group of actors in a particular context. Knowledge expressed within the context of a problem resolution must be capitalized for future reuse. In this paper, an approach that permits dynamic capitalization of relevant and reliable actors' knowledge in solving decision problem following Economic Intelligence process is proposed. Knowledge annotation method and temporal attributes are used for handling the complexity in the communication among actors and in contextualizing expressed knowledge. A prototype is built to demonstrate the functionalities of a collaborative Knowledge Management system based on this approach. It is tested with sample cases and the result showed that dynamic capitalization leads to knowledge validation hence increasing reliability of captured knowledge for reuse. The system can be adapted to various domains</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">Dynamic Capitalization and Visualization Strategy in Collaborative Knowledge Management System for EI Process</title><author role="crp"><persName><forename type="first">Bolanle</forename><surname>Oladejo</surname></persName><email>oladejof@loria.fr</email><idno type="halauthor">411595</idno><affiliation ref="#struct-2493"></affiliation></author><author role="aut"><persName><forename type="first">Victor</forename><surname>Odumuyiwa</surname></persName><email>odumuyiv@loria.fr</email><idno type="halauthor">357587</idno><affiliation ref="#struct-2493"></affiliation></author><author role="aut"><persName><forename type="first">Amos</forename><surname>David</surname></persName><email>Amos.David@loria.fr</email><idno type="halauthor">59093</idno><affiliation ref="#struct-2493"></affiliation></author><editor role="depositor"><persName><forename>Victor</forename><surname>Odumuyiwa</surname></persName><email>odumuyiv@loria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2010-12-15 13:15:06</date><date type="whenWritten">2010-06-28</date><date type="whenModified">2016-05-19 01:05:20</date><date type="whenReleased">2010-12-15 13:46:00</date><date type="whenProduced">2010-10-27</date><date type="whenEndEmbargoed">2010-12-15</date><ref type="file" target="https://hal.inria.fr/inria-00546808/document"><date notBefore="2010-12-15"></date></ref><ref type="file" subtype="author" n="1" target="https://hal.inria.fr/inria-00546808/file/Oladejo_ICKMKE.pdf"><date notBefore="2010-12-15"></date></ref></edition><respStmt><resp>contributor</resp><name key="132113"><persName><forename>Victor</forename><surname>Odumuyiwa</surname></persName><email>odumuyiv@loria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00546808</idno><idno type="halUri">https://hal.inria.fr/inria-00546808</idno><idno type="halBibtex">oladejo:inria-00546808</idno><idno type="halRefHtml">International Conference in Knowledge Management and Knowledge Economy - ICKMKE 2010, Oct 2010, paris, France. pp.1-9, 2010</idno><idno type="halRef">International Conference in Knowledge Management and Knowledge Economy - ICKMKE 2010, Oct 2010, paris, France. pp.1-9, 2010</idno></publicationStmt><seriesStmt><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="LORIA2">Publications du LORIA</idno><idno type="stamp" n="LABO-LORIA-SET" p="LORIA">LABO-LORIA-SET</idno><idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno><idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno><idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno></seriesStmt><notesStmt><note type="audience" n="2">International</note><note type="invited" n="0">No</note><note type="popular" n="0">No</note><note type="peer" n="1">Yes</note><note type="proceedings" n="1">Yes</note></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Dynamic Capitalization and Visualization Strategy in Collaborative Knowledge Management System for EI Process</title><author role="crp"><persName><forename type="first">Bolanle</forename><surname>Oladejo</surname></persName><email>oladejof@loria.fr</email><idno type="halAuthorId">411595</idno><affiliation ref="#struct-2493"></affiliation></author><author role="aut"><persName><forename type="first">Victor</forename><surname>Odumuyiwa</surname></persName><email>odumuyiv@loria.fr</email><idno type="halAuthorId">357587</idno><affiliation ref="#struct-2493"></affiliation></author><author role="aut"><persName><forename type="first">Amos</forename><surname>David</surname></persName><email>Amos.David@loria.fr</email><idno type="halAuthorId">59093</idno><affiliation ref="#struct-2493"></affiliation></author></analytic><monogr><title level="m">International Conference in Knowledge Management and Knowledge Economy</title><meeting><title>International Conference in Knowledge Management and Knowledge Economy - ICKMKE 2010</title><date type="start">2010-10-27</date><date type="end">2010-10-29</date><settlement>paris</settlement><country key="FR">France</country></meeting><imprint><biblScope unit="pp">1-9</biblScope><date type="datePub">2010-06-28</date></imprint></monogr><idno type="arxiv">1012.3312</idno></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><textClass><keywords scheme="author"><term xml:lang="en">Actors' communication</term><term xml:lang="en">knowledge annotation</term><term xml:lang="en">recursive knowledge capitalization</term><term xml:lang="en">visualization</term></keywords><classCode scheme="halDomain" n="info.info-ir">Computer Science [cs]/Information Retrieval [cs.IR]</classCode><classCode scheme="halTypology" n="COMM">Conference papers</classCode></textClass><abstract xml:lang="en">Knowledge is attributed to human whose problem-solving behavior is subjective and complex. In today's knowledge economy, the need to manage knowledge produced by a community of actors cannot be overemphasized. This is due to the fact that actors possess some level of tacit knowledge which is generally difficult to articulate. Problem-solving requires searching and sharing of knowledge among a group of actors in a particular context. Knowledge expressed within the context of a problem resolution must be capitalized for future reuse. In this paper, an approach that permits dynamic capitalization of relevant and reliable actors' knowledge in solving decision problem following Economic Intelligence process is proposed. Knowledge annotation method and temporal attributes are used for handling the complexity in the communication among actors and in contextualizing expressed knowledge. A prototype is built to demonstrate the functionalities of a collaborative Knowledge Management system based on this approach. It is tested with sample cases and the result showed that dynamic capitalization leads to knowledge validation hence increasing reliability of captured knowledge for reuse. The system can be adapted to various domains</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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