A formal methodology for acquiring and representing expert knowledge

Journal Article · Wed Oct 01 04:00:00 EDT 1986 · Proc. IEEE; (United States)

DOI:https://doi.org/10.1109/PROC.1986.13643· OSTI ID:6832283

Cooke, N M; McDonald, J E

The process of eliciting knowledge from human experts and representing that knowledge in an expert or knowledge-based system suffers from numerous problems. Not only is this process time-consuming and tedious, but the weak knowledge acquisition methods typically used (i.e., interviews and protocol analysis) are inadequate for eliciting tacit knowledge and may, in fact, lead to inaccuracies in the knowledge base. In addition, the intended knowledge representation scheme guides the acquisition of knowledge resulting in a representation-driven knowledge base as opposed to one that is knowledge-driven. In this paper, a formal methodology is proposed that employs techniques from the field of cognitive psychology to uncover expert knowledge as well as an appropriate representation of that knowledge. The advantages of such a methodology are discussed, as well as results from studies concerning the elicitation of concepts from experts and the assignment of labels to links in empirically derived semantic networks.

• Research Organization: Computing Research Lab. and the Dept. of Psychology, New Mexico State Univ., Las Cruces, NM 88003
• OSTI ID: 6832283
• Journal Information: Proc. IEEE; (United States), Journal Name: Proc. IEEE; (United States) Vol. 74:10; ISSN IEEPA
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS
990210* -- Supercomputers-- (1987-1989)
DATA COVARIANCES
ERRORS
EXPERT SYSTEMS
KNOWLEDGE BASE
NATURAL LANGUAGE
PROGRAMMING LANGUAGES
PSYCHOLOGY
RESEARCH PROGRAMS
TIME DEPENDENCE