Artificial intelligence support of knowledge transformation in knowledge management systems

In present paper we propose an approach to support of knowledge spiral in the knowledge management systems in organizations facilitating transition of knowledge from implicit form to explicit one and vice versa. The approach is based on the transformation of knowledge from one knowledge representation model to another on the basis of artificial intelligence methods. Efficient methods are proposed for conversion of knowledge from the case-based model to the rule-based representation.