Name
Abstract | ||
|---|---|---|
Methodology for Knowledge System Management (MKSM) is a methodology, based on modelling techniques, to support knowledge capitalisation and management. This kind of approach faces a new challenge: knowledge evolution. Indeed, as knowledge of the organisation evolves, it seems necessary to have models and supporting tools to represent this evolution. Biologic evolution theories can offer the basis of a dynamic theory of Knowledge System evolution. We especially propose to adapt Lamarckism's principles and the Cladistic classification to support such a modelling and propose a conceptual architecture for managing knowledge evolution. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1016/S0377-2217(98)00067-8 | European Journal of Operational Research |
Keywords | Field | DocType |
Knowledge,Evolution,Evolution classification,Knowledge management | Information system,Body of knowledge,Architecture,Domain knowledge,Knowledge-based systems,Knowledge management,Knowledge engineering,Conceptual architecture,Systems management,Mathematics | Journal |
Volume | Issue | ISSN |
109 | 2 | 0377-2217 |
Citations | PageRank | References |
5 | 0.75 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| francoise barthelme | 1 | 10 | 1.50 |
| francoise barthelme | 2 | 10 | 1.50 |
| Camille Rosenthal-Sabroux | 3 | 32 | 13.34 |