Lessons learned across a decade of knowledge modeling

I review lessons learned in the creation of knowledge models composed of Concept Maps. The models were developed in studies of expertise in a variety of domains including weather forecasting, clinical oncology, and terrain analysis. Lessons learned pertain to a number of methodological issues, such as the measurement of the effectiveness of knowledge elicitation methods, issues in organizing, resourcing and navigating large sets of Concept Maps, and issues in comparing computer performance to that of humans.