Abstract : Knowledge management is a research topic that encompasses various domains. It is proved that both knowledge codification and social interaction can improve knowledge sharing in an organization, and IT has always been a powerful technology to support knowledge management cycle, especially on knowledge capturing, storage or even sharing. Knowledge engineering is an engineering science that represent knowledge into computable forms, in order to solve a problem in a specific domain, it offers useful approaches to obtain and model domain knowledge. In this paper, the knowledge produced in project meetings will be studied, and a semantic network based classification model will be proposed to support knowledge management, followed by two detailed case studies.
Eunika Mercier-Laurent; Danielle Boulanger. 3rd IFIP International Workshop on Artificial Intelligence for Knowledge Management (AI4KM), Jul 2015, Buenos Aires, Argentina. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-497, pp.15-31, 2016, Artificial Intelligence for Knowledge Management. 〈10.1007/978-3-319-55970-4_2〉
https://hal.inria.fr/hal-01626989
Contributeur : Hal Ifip
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Soumis le : mardi 31 octobre 2017 - 15:43:34
Dernière modification le : mardi 27 février 2018 - 14:40:04
Document(s) archivé(s) le : jeudi 1 février 2018 - 13:17:07
Xinghang Dai, Nada Matta. A Knowledge Engineering Perspective of Knowledge Management: How to Manage Project Meeting Knowledge. Eunika Mercier-Laurent; Danielle Boulanger. 3rd IFIP International Workshop on Artificial Intelligence for Knowledge Management (AI4KM), Jul 2015, Buenos Aires, Argentina. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-497, pp.15-31, 2016, Artificial Intelligence for Knowledge Management. 〈10.1007/978-3-319-55970-4_2〉. 〈hal-01626989〉
