Knowledge Elicitation: Phase 1 Final Report. Volume 1
Abstract
This research note presents a framework for knowledge elicitation and representation based on theories of how experts themselves represent knowledge. Much previous work on knowledge elicitation has been guided by requirements of the systems for which the knowledge is to be encoded. Two methodologies are presented: an interpretive method, based on the premise that experts organize knowledge in a top down fashion; and a generative method, based on the premise that they organize knowledge in a bottom up way. The interpretive representation of expert knowledge integrates scripts, object frames, and mental models. The generative representation integrates production rules, semantic nets, and mental models. Knowledge elicitation techniques for each method are selected and tailored according to knowledge requirements of these representations. Both methods were tested between subjects on ten situation development specialists and ten order of battle specialists in the Army Intelligence domain. Knowledge models were constructed and evaluated for each of the methods, and the intelligence specialties. Results show that experts use a variety of knowledge structures in processing information and reasoning, and that both representations are necessary to capture expert knowledge adequately. Keywords: Information theory, Military intelligence.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 1989
- Accession Number
- ADA209932
Entities
People
- F. F. Marvin
- John M. Leddo
- Marvin S. Cohen
- Terry A.. Bresnick
- Theresa M. Mullins