Abstract
Knowledge engineering is a part of Artificial Intelligence which includes all activities connected with the transfer of knowledge from knowledge sources (experts, data files etc.) into knowledge-based systems. It was recognized as a bottleneck of current systems applications (“Feigenbaum's bottleneck”). This contribution deals with three aspects of knowledge engineering: It provides a brief overview of the knowledge acquisition methods and contains the discussion on the significance of the object-orientation paradigm for knowledge structuring and integration. The attention is focused on mutual impacts of software and knowledge engineering.
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