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.

Date Published: 1 January 1990
PDF: 11 pages
Proc. SPIE 1293, Applications of Artificial Intelligence VIII, (1 January 1990); doi: 10.1117/12.21069

Published in SPIE Proceedings Vol. 1293:
Applications of Artificial Intelligence VIII
Mohan M. Trivedi, Editor(s)