Categorizing Intelligent Lessons Learned Systems. Weber, R., Aha, D. W., & Becerra-Fernandez, I. In Aha, D. W. & Weber, R., editors, AAAI Technical Report WS-00-03, pages 63–67, Menlo Park, California, 2000. AAAI Press. abstract bibtex 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.
@inproceedings{weber_categorizing_2000,
address = {Menlo Park, California},
title = {Categorizing {Intelligent} {Lessons} {Learned} {Systems}},
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 representational and other important issues that need to be addressed when designing intelligent lessons learned systems.},
urldate = {2013-06-10},
booktitle = {{AAAI} {Technical} {Report} {WS}-00-03},
publisher = {AAAI Press},
author = {Weber, Rosina and Aha, David W. and Becerra-Fernandez, Irma},
editor = {Aha, David W. and Weber, Rosina},
year = {2000},
pages = {63--67},
}
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