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Graph-based reasoning in collaborative knowledge management for industrial maintenance

Kamsu-Foguem, Bernard and Noyes, Daniel Graph-based reasoning in collaborative knowledge management for industrial maintenance. (2013) Computers in Industry, 64. 998-1013. ISSN 0166-3615

(Document in English)

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Official URL: http://dx.doi.org/10.1016/j.compind.2013.06.013


Capitalization and sharing of lessons learned play an essential role in managing the activities of industrial systems. This is particularly the case for the maintenance management, especially for distributed systems often associated with collaborative decision-making systems. Our contribution focuses on the formalization of the expert knowledge required for maintenance actors that will easily engage support tools to accomplish their missions in collaborative frameworks. To do this, we use the conceptual graphs formalism with their reasoning operations for the comparison and integration of several conceptual graph rules corresponding to different viewpoint of experts. The proposed approach is applied to a case study focusing on the maintenance management of a rotary machinery system.

Item Type:Article
Additional Information:Thanks to Elsevier editor. The definitive version is available at http://www.sciencedirect.com/science/article/pii/S0166361513001279
HAL Id:hal-00881052
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Laboratory name:
Deposited On:09 Oct 2013 08:38

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