Name
Abstract | ||
|---|---|---|
Lessons learned processes have been deployed in commercial, government, and military organizations since the late 1980s to capture, store, disseminate, and share experiential working knowledge. However, recent studies have shown that software systems for supporting lesson dissemination do not effectively promote knowledge sharing. We found that the problems with these systems are related to their textual representation for lessons and that they are not incorporated into the processes they are intended to support. In this article, we survey lessons learned processes and systems, detail their capabilities and limitations, examine lessons learned system design issues, and identify how artificial intelligence technologies can contribute to knowledge management solutions for these systems. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1016/S0957-4174(00)00046-4 | Expert Systems with Applications |
Keywords | Field | DocType |
Lessons learned systems,Knowledge management,Artificial intelligence,Case-based reasoning | Experiential learning,Data mining,Intelligent decision support system,Knowledge sharing,Computer science,Systems design,Knowledge management,Software system,Dissemination,Case-based reasoning,Government | Journal |
Volume | Issue | ISSN |
20 | 1 | 0957-4174 |
Citations | PageRank | References |
70 | 5.11 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rosina Weber | 1 | 334 | 34.42 |
| David W. Aha | 2 | 4103 | 620.93 |
| Irma Becerra-Fernandez | 3 | 494 | 43.24 |