Acquiring Implicit Knowledge by Cognitive Semantics Mapping

Abstract

This paper describes one way of representation of expert’s knowledge aimed at revealing implicit semantics associated with the chosen domain. For this, two important techniques are combined. First, a space of metaphors is selected to complement a given set of the domain stimuli. An expert then performs a subjective scaling quiz on both domain stimuli and metaphors. Second, a geometrical representation of expert’s answers is built and analyzed. The result is interpreted in terms of theories of psychological meaning. The paper discusses the approach and proposes a template for arbitrary experiments of such ways of knowledge elicitation.