David B. Leake, Larry Birnbaum, Cameron Marlow, and Hao Yang. Proceedings of the Third International Conference on Case-Based Reasoning, ICCBR-99, Springer-Verlag, Berlin. 15 pages.
This paper received the Best Application Paper award at the Third International Conference on Case-Based Reasoning, ICCBR-99.
The development of successful case-based design aids depends both on the CBR processes themselves and on crucial questions of integrating the CBR system into the larger task context: how to make the CBR component provide information at the right time and in the right form, how to access relevant information from additional information sources to supplement the case library, how to capture information for use downstream and how to unobtrusively acquire new cases. This paper presents a set of design principles and techniques that integrate methods from CBR and information retrieval to address these questions. The paper illustrates their application through a case study of the Stamping Advisor, a tool to support feasibility analysis for stamped metal automotive parts.
See http://www.cs.indiana.edu/~leake/INDEX.html for additional publications in the Artificial Intelligence/Cognitive Science report and reprint archive maintained by David Leake.