Knowledge Elicitation – Converting Tacit Knowledge to Explicit Knowledge
Knowledge Elicitation –
Converting Tacit Knowledge to Explicit Knowledge
Introduce the student to capturing tacit knowledge from human sources and convert it into
Introduce the student to the various stages of the traditional one-on-one interview and how
they can be managed for effectiveness
Other elicitation techniques such as observation, role-reversal, etc.
The variations of the one-on-one interview when more than one person participates
The following alphabetical list identifies the key terms discussed in this chapter.
number for each key term is provided.
Close-ended questions, p. 183
Constrained processing tasks, p. 187
General knowledge-gathering interview sessions, p. 182
Interviews, p. 181
Kick-off interview, p. 181
Knowledge elicitation, p. 180
Knowledge capture, p. 180
Limited information tasks, p. 187
Many-on-one interview, p. 189
Many-on-many interview, p. 189
Model-based reasoning, p. 194
Observational elicitation, p. 194
One-line diagram, p. 195
One-on-many interview, p. 188
One-on-one interview, p. 181
Open-ended questions, p. 182
Output-input-middle method, p. 183
Repertory grids, p. 190
Role reversal, p. 184
Specific problem-solving, knowledge-gathering interview sessions, p. 182
For undergraduate students, it is most important that they learn to do knowledge elicitation
using the various manual techniques described in the chapter.
In addition to understanding the mechanics of knowledge elicitation, the graduate student
should come away understanding the difference between human knowledge – already known
by someone, and that not known by humans.
This is an important difference between the
contents of this chapter and Chapter 12 – Data Mining.
The graduate student should also