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
DOI: 10.4018/IJISSS.2015100101
(Individual Articles)
No Current Special Offers


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.
Article Preview

1. Introduction

For some fifteen years, the approaches to the management of knowledge are implemented in organizations to optimize the knowledge use and sharing between actors. The numerous definitions of knowledge management demonstrate the diversity of these approaches. As part of the analysis proposed in this paper, the definition chosen is that of Ermine zt al., (2010) who considers the knowledge management as “The management of knowledge to locate, formalize, share, enrich and enhance the critical and strategic knowledge in companies”. To this definition are associated the notions of “organizational memory, information sharing and collaborative work”. These notions show the knowledge as a true strategic resource for company (Pusa & Haapalainen, 2012; Prax, 2012). The implementation of this type of knowledge management system, such knowledge mapping, contributes to the identification of individual knowledge, which the visualization mode allows a glimpse of the potential interactions between the actors of an organization, or the networking of these individuals and their knowledge. According Aubetin (2006), the knowledge mapping is therefore a KMS (Knowledge Management System) that intervenes in the identification and analysis of a heritage of knowledge in the perspective of a development strategy for thereof. The knowledge maps are not solely a tool for knowledge representation, but also facilitate decision making. Similarly, Eppler (2001) describes the knowledge mapping as “front attend an employee, a team or department to characterize and use the knowledge available within an organization”. In his thesis, Sellin and Kelly (2011) asserts that knowledge mapping provides a mode of representation more global, allowing however, a more focused analysis (the fact of the visibility provided) on a network of knowledge, organized within a logical of contents. Whatever its form, knowledge mapping constitutes a guide which allows to localize the knowledge key of the organization, by mentioning as well the persons who possess that the documents or databases in order to facilitate access. Moreover, Scaife and Rogers (1996) stressed that “The visualizations can increase our processing capacity by visualizing abstract relationships between the elements”. The visual representations proposed in the knowledge management systems are mostly based, at least implicitly, from a formal point of view on tree models or more generally graphs (Ermine, 2010). These models of knowledge visualization allow ensuring better exploitation of knowledge models by experts. Similarly, Eppler and Burkhard (2005) confirmed that the knowledge visualization is a nascent burgeoning field (Eppler & Burkhard, 2005) and the analysis of this fundamental aspect in a process of knowledge management is still in its infancy (Burkhard, 2005).

In this paper, we propose a new dynamic fusion approach of activities knowledge maps in a trades process guided on the one hand, by the graphical representation of knowledge mapping (Aubertin, 2006) and, on the other hand by the boolean modelling inspired from the cellular machine CASI (Atmani & Beldjilali, 2007; Atmani et al., 2013; Brahami et al., 2013). The paper is organized as following: Section 2 describes the related theories and technologies, which form the basic principles of the combination and the fusion of knowledge maps. A general description of our proposed approach is showed in Section 3. Section 4 describes the representation by logigrams under tree form and presents the approach of the dynamic fusion of the knowledge maps of activities in the trade’s process. An illustration of the framework in collaborative project between our laboratory (laboratory of computer science of Oran) and SEMEP (Service of Epidemiological and the preventive medicine) is described in Section 5.

Complete Article List

Search this Journal:
Volume 15: 1 Issue (2023): Forthcoming, Available for Pre-Order
Volume 14: 4 Issues (2022): 3 Released, 1 Forthcoming
Volume 13: 4 Issues (2021)
Volume 12: 4 Issues (2020)
Volume 11: 4 Issues (2019)
Volume 10: 4 Issues (2018)
Volume 9: 4 Issues (2017)
Volume 8: 4 Issues (2016)
Volume 7: 4 Issues (2015)
Volume 6: 4 Issues (2014)
Volume 5: 4 Issues (2013)
Volume 4: 4 Issues (2012)
Volume 3: 4 Issues (2011)
Volume 2: 4 Issues (2010)
Volume 1: 4 Issues (2009)
View Complete Journal Contents Listing