Article

Une méthode pour développer un système de gestion de connaissances en 5 jours

HEC –Montréal

ABSTRACT

Résumé : Il y a aujourd'hui un consensus sur la valeur des connaissances corporatives : un employé doit connaître le processus de travail à suivre, un gestionnaire doit anticiper les tendances du marché, un chercheur doit connaître l'état de l'art. La richesse intellectuelle et la capacité d'apprendre sont vues comme des avantages compétitifs, et le défi à relever est la gestion efficace de cette richesse. Ce défi inclut la modélisation et l'acquisition des connaissances, son entreposage et sa diffusion vers les employés au travers de toute l'organisation. Les connaissances doivent être capitalisées et gérées par un système de gestion de connaissances afin d'en assurer la standardisation, l'uniformité et la cohérence. Dans cette perspective, et dans le but de former du personnel hautement qualifié, nous avons créé un laboratoire de gestion de connaissances à HEC Montréal. Dans ce laboratoire, nous avons développé du matériel pédagogique pour nos étudiants sous gradués et gradués de nos programmes en administration des affaires et en systèmes d'information. Plus précisément, nous avons développé une « méthode en 5 jours » pour entraîner nos étudiants à développer des systèmes de gestion de connaissances « light ». Cette méthode utilise Teximus Expertise, un ensemble d'outils pour la gestion de connaissances. Abstract : Nowadays there is consensus on the value of corporate knowledge: an employee must know a work process; a manager must anticipate market trends; a researcher must know about the state of the art. The knowledge assets and the learning capacity of an organization are seen as the main source of a competitive advantage, and the challenge is to efficiently manage this corporate knowledge. This challenge includes the design of the knowledge model and the memorization of knowledge, its storage and its dissemination to employees throughout the organization. Knowledge may be capitalized on and managed in a Knowledge Management (KM) system in order to ensure standardization, consistency and coherence. In this perspective, and in order to train highly qualified personnel, we created a knowledge management laboratory at HEC Montreal. In this KM laboratory, we develop teaching material dedicated to undergraduate and graduate students enrolled in business administration and information systems programs. More specifically, we designed a five days method to exercise our students in developing light KM systems. This method is implemented using Teximus Expertise, a set of tools for knowledge management.

Download full-text

Full-text

Available from: Olivier Gerbé
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Develop a formal ontology requires a certain expertise, which is mostly inaccessible to content experts. However, more and more experts are using the half-formal modeling to represent their expertise, because such language is best known for its ease of use and ability to represent declarative, procedural, strategic and factual knowledge. Half-formal modeling, which can be a first step in setting up a corporate memory, does not eliminate the need to formally represent knowledge, forcing them to implement a step of formalizing the half-formal model. We have developed a methodology for converting a half-formal model to ontology and a software wizard who developed half-automated or automated processes of transformation methodology. The design approach of the methodology and its computer assistant is divided into three phases: 1) Implementation phase of architectural components, procedural and computational methodology is the initial phase of the process, 2) phase aggregation of ontological components, procedural and IT is the phase of development and harmonization of modules to process the wizard of the methodology, 3) the confirmation phase is the stage of testing and refinement of the functionality of Wizard Computer and methodology. Four disciplines are involved in this thesis: knowledge management, our approach provides a method of formalization of knowledge based on a half-formal representation, in ontological engineering, our work provides an architectural framework and procedure that formalizes and orchestrates the process of building an ontology from a half-formal model; in knowledge representation, this thesis advances the study of a formal categorization of knowledge representation that they are declarative, procedural, strategic or factual, and finally, in a computational point of view, this research presents an architecture and tools that formalize and make executable the process of transformation.
    Full-text · Article · Jan 2011