Interviewing for knowledge

An expert system is an application of artificial intelligence which requires the transfer of knowledge from human to machine. The acquisition of this knowledge from experienced practitioners (domain experts) is typically inefficient. Problems associated with the subjective reporting of knowledge must be overcome. To do this, a structured rather than unstructured interviewing approach can be used by knowledge engineers. Open, closed, and probing questions as well as direction responses should be used within a “funnel” structure. The goal of the knowledge acquisition interview is to obtain complete, accurate, and reliable knowledge for the expert system.