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.

Lições Aprendidas: Agregando Valor ao Gerenciamento de Projetos

“…A linguagem de representação deve dar meios para representar rigorosamente o vocabulário utilizado, para analisar os modelos ou raciocinar sobre eles diretamente (SCHREIBER et al, 2000). Kamsufoguem et al (2008) O processo de lições aprendidas deve fazer uso de ontologias, para criar um conhecimento consensual dentro da empresa, o que facilitará e muito o entendimento e compreensão das situações levantadas, bem como, a socialização, externalização, combinação e internalização. Ressaltando que a lição aprendida para agregar valor e ser incorporada a base de conhecimento da organização, dever estabelecer: contexto, fato gerador, análise e solução.…”

A risk-based approach applied to system engineering projects: A new learning based multi-criteria decision support tool based on an Ant Colony Algorithm

“…Thus, in our work, the closing sub-process is assimilated to an experience feedback (EF) process (Béler and Desforges, 2007;Kamsu Foguem et al, 2008). Current experiences are capitalized into an experience base.…”

Challenges for Experience Feedback in Engineering Design

“…• What they have in common is the formalization of explicit and tacit knowledge into formal models [5], design rules [11] or design recommendations that may be implemented in computerized systems, such as LL- [14], KE- [15] or Decision Support (DS) [16] systems. Stokes [11] focus more on the capture, formalization steps of the KLC when creating Knowledge Based Engineering (KBE) systems, whereas Blessing and Nuzzo also focus the more human issues such as learn, generate and acquire.…”

“…The idea is that experience feedback and lessons learned systems increase efficiency, by 'knowing what we know' [4] so that project start-up time can be reduced and that the solution space increase while at the same time avoid repeating problems [5]. However this is hard to do.…”