A Knowledge Acquisition Tool for Medical Diagnostic Knowledge - Based Systems

Knowledge Acquisition (KA) in AI consists in the transfer and transformation of knowledge from the forms in which it is available in the world into forms that can be used by a knowledge based system (KBS). Conventionally KA is done by AI specialists, called knowledge engineers, who interview domain experts and build prototype systems. This methodology is slow, expensive and error-prone. Thus, automating KA may provide domain experts with tools which reduce their need to have recourse to knowledge engineers.