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An Approach to Dynamic Fusion of the Knowledge Maps of an Activities Process: Application on Healthcare

An Approach to Dynamic Fusion of the Knowledge Maps of an Activities Process: Application on Healthcare

Menaouer Brahami, Baghdad Atmani, Nada Matta
Copyright: © 2015 |Volume: 7 |Issue: 4 |Pages: 26
ISSN: 1935-5688|EISSN: 1935-5696|EISBN13: 9781466676480|DOI: 10.4018/IJISSS.2015100101
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MLA

Brahami, Menaouer, et al. "An Approach to Dynamic Fusion of the Knowledge Maps of an Activities Process: Application on Healthcare." IJISSS vol.7, no.4 2015: pp.1-26. http://doi.org/10.4018/IJISSS.2015100101

APA

Brahami, M., Atmani, B., & Matta, N. (2015). An Approach to Dynamic Fusion of the Knowledge Maps of an Activities Process: Application on Healthcare. International Journal of Information Systems in the Service Sector (IJISSS), 7(4), 1-26. http://doi.org/10.4018/IJISSS.2015100101

Chicago

Brahami, Menaouer, Baghdad Atmani, and Nada Matta. "An Approach to Dynamic Fusion of the Knowledge Maps of an Activities Process: Application on Healthcare," International Journal of Information Systems in the Service Sector (IJISSS) 7, no.4: 1-26. http://doi.org/10.4018/IJISSS.2015100101

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Abstract

The interest of companies for a greater valuation of their information, knowledge and competency is increasing. These companies have a knowledge capital (tacit and explicit) often poorly exploited. These information resources include knowledge and information useful and necessary to the execution of trades' processes and that it will be captured and formalized by using knowledge engineering methods, such as knowledge mapping techniques. In this context, the authors present a new approach to dynamic fusion of knowledge maps for an activities process that builds on the one hand, the graphical representation of the knowledge mapping and the boolean modelling of the graph (MBG). On the other hand, the authors' fusion algorithm of the maps which relies on notions of “index” type which allows determines the type of node of map to merge their fusion algorithm of the maps which relies on notions of “index” type which allows determines the type of node to merge and on notions of the boolean modelling of the knowledge maps. The authors finally implemented this algorithm to obtain experimental results. This result can be used as a decision support tool, whether individual or collective.

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