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Categorizing intelligent lessons learned systems
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1860/2040
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| Title: | Categorizing intelligent lessons learned systems |
| Authors: | Weber, Rosina O.
Aha, David
Becerra-Fernandez, Irma |
| Issue Date: | 2000 |
| Publisher: | AAAI Press |
| Citation: | Intelligent Lessons Learned Systems: Papers from the AAAI 2000 Workshop, Technical Report WS-00-03: pp. 63-67. |
| Abstract: | Lessons learned systems are knowledge management
solutions that serve the purpose of capturing, storing,
disseminating and sharing an organization’s verified
lessons. In this paper we propose a two-step categorization
method to support the design of intelligent lessons learned
systems. The first step refers to the categories of the lessons
learned processes the system is designed to support. The
second step refers to the categories of the system itself.
These categories are based on systems available online and
described in the literature. We conclude by summarizing
representation and other important issues that need to be
addressed when designing intelligent lessons learned
systems. |
| URI: | http://hdl.handle.net/1860/2040 |
| Appears in Collections: | Faculty Research and Publications (IST)
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