Title
Knowledge formalization in experience feedback processes: An ontology-based approach
Abstract
Because of the current trend of integration and interoperability of industrial systems, their size and complexity continue to grow making it more difficult to analyze, to understand and to solve the problems that happen in their organizations. Continuous improvement methodologies are powerful tools in order to understand and to solve problems, to control the effects of changes and finally to capitalize knowledge about changes and improvements. These tools involve suitably represent knowledge relating to the concerned system. Consequently, knowledge management (KM) is an increasingly important source of competitive advantage for organizations. Particularly, the capitalization and sharing of knowledge resulting from experience feedback are elements which play an essential role in the continuous improvement of industrial activities. In this paper, the contribution deals with semantic interoperability and relates to the structuring and the formalization of an experience feedback (EF) process aiming at transforming information or understanding gained by experience into explicit knowledge. The reuse of such knowledge has proved to have significant impact on achieving the missions of companies. However, the means of describing the knowledge objects of an experience generally remain informal. Based on an experience feedback process model and conceptual graphs, this paper takes domain ontology as a framework for the clarification of explicit knowledge and know-how, the aim of which is to get lessons learned descriptions that are significant, correct and applicable.
Year
DOI
Venue
2008
10.1016/j.compind.2007.12.014
Computers in Industry
Keywords
DocType
Volume
experience feedback process model,ontology-based approach,industrial activity,knowledge management,Interoperability,explicit knowledge,knowledge object,knowledge formalization,Continuous improvement,Conceptual graphs,Knowledge management,continuous improvement,industrial system,continuous improvement methodology,semantic interoperability,Experience feedback,experience feedback
Journal
59
Issue
ISSN
Citations 
7
Computers in Industry
39
PageRank 
References 
Authors
1.51
44
4
Name
Order
Citations
PageRank
Bernard Kamsu-Foguem131820.94
T. Coudert2391.85
C. Béler3391.51
L. Geneste4553.02