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Please use this identifier to cite or link to this item: http://hdl.handle.net/1860/2040

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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