Categorizing Intelligent Lessons Learned Systems

Rosina Weber, David W. Aha, and Irma Becerra-Fernandez

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 representational and other important issues that need to be addressed when designing intelligent lessons learned systems.


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