Knowledge Acquisition Process for a Generative Model Development

Knowledge engineering becomes more frequently seen in engineering practice. The possibility of developing an application which is able to increase speed and quality of for example designers’ work is invaluable useful. The main task of Knowledge Based Engineering (KBE) is providing new and intelligent applications to support routine engineering work tasks. To prepare such kind of application it is necessary to go through the procedure of knowledge acquisition and knowledge postprocessing. This process requires a lot of a knowledge engineer work and experience. In this paper authors shown the main things related to knowledge acquisition process in the context of a Generative Model development. Additionally, some new approach to knowledge storage with Microsoft Excel is presented.