Knowledge acquisition (KA) is considered today a cognitive process that involves both dynamic modeling and knowledge generation activities. We understand KA should be seen as a spiral of epistemological and ontological content that grows upward by transforming tacit knowledge into explicit knowledge, which in turn becomes the basis for a new spiral of knowledge generation. This paper presents some of our attempts to develop a knowledge acquisition methodology that mainly build a bridge between two important fields: knowledge acquisition and knowledge management. KAMET II (Cairó and Guardati, 2012), the evolution of KAMET, represents a modern approach to creating diagnosis‐specialized knowledge models and knowledge‐based systems (KBS) that are more efficient. [ABSTRACT FROM AUTHOR]