Techniques for capturing expert knowledge: an expert systems/hypertext approach

Lawrence Lafferty; Albert M. Koller Jr.; Greg Taylor; Robin S. Schumann; Randy Evans

doi:10.1117/12.21069

1 January 1990 Techniques for capturing expert knowledge: an expert systems/hypertext approach

Lawrence Lafferty, Albert M. Koller Jr., Greg Taylor, Robin S. Schumann, Randy Evans

Proceedings Volume 1293, Applications of Artificial Intelligence VIII; (1990) https://doi.org/10.1117/12.21069
Event: 1990 Technical Symposium on Optics, Electro-Optics, and Sensors, 1990, Orlando, FL, United States

Abstract

One of the most significant problems currently facing the United States is the loss of scientific expertise. Many of the pioneers in such technical fields as flight medicine, ground operations, space propulsion, and safety began their careers during or shortly after WWII and are now approaching retirement age.1 While expert systems are recognized as a good vehicle for capturing technical knowledge, expert system developers often have difficulty acquiring the knowledge needed for systems. Because experts in most domains are rare and their time is limited, knowledge acquisition is a significant obstacle to system development. In many cases, however, the baseline knowledge for a system has already been captured in technical manuals written by the experts themselves. This paper describes an innovative system for Explosive Hazards Classification that is being developed for the Safety and Environmental Protection Subcommittee of JANNAF, the Joint Army-Navy-NASA-Air Force Propulsion Committee. The system, known as the Explosive Hazards Classification Expert System, is unique because of the knowledge acquisition strategy being used during its development and because of its integration of expert system and hypertext techniques.

Citation Download Citation

Lawrence Lafferty, Albert M. Koller Jr., Greg Taylor, Robin S. Schumann, and Randy Evans "Techniques for capturing expert knowledge: an expert systems/hypertext approach", Proc. SPIE 1293, Applications of Artificial Intelligence VIII, (1 January 1990); https://doi.org/10.1117/12.21069

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