Knowledge management system (KMS) should handle efficiently a large information that is in most cases is related to user experiences and related situation that can affecting the performance of these KMS. User usually is keen to looking for the knowledge that fits best in his situation and domain work that instantaneously is changing due to handling situation. This outline presented in this paper facilitates the necessary detection of knowledge discovery that fit in the current problem solving, by estimating the user situation model along with user profile as a coherent model that reflects on the knowledge base in transparent manner. This would participate in determination of the best fitness of work flow that represents a semantic alignment between user profile and knowledge as pair-wise representation for optimized workflow that can participate to reflect a better performance in relation to semantic integration of user model and related knowledge. It is status report paper.