A Framework for Expert Knowledge Acquisition

Summary In the artificial intelligence field, knowledge acquisition and reasoning are important areas for intelligent systems, especially knowledge base systems and expert systems. Knowledge acquisition is not an easy task since transferring expert knowledge required different methodologies and techniques based on expert domain, type of knowledge, knowledge engineer and expert domain. The success of the project depends on good knowledge management (KM). This paper presents a framework for manual knowledge acquisition. The proposed framework is for both types of knowledge (tacit and explicit). Using proposed framework allow organization to acquire knowledge from experts and get useful from it.