Abstract-Knowledge is the strategic resource for the organization. Knowledge map is an important tool for knowledge sharing. Providing the personalized knowledge map based on the preference of users can ease the burden of learning the knowledge map and facilitate the finding of the required knowledge. The tagging to documents reflects the user's preference of classification. In the paper, the approach to the personalized knowledge map construction based on the collaborative tagging is proposed. Firstly, the weight of the tag in documents is identified. Secondly, the similarity of users on the preference of classification is defined and then users that have the similar classification preference are identified to expand the current user's preference of personalized classification. Then the text vector of document and text similarity is identified. Afterwards, the knowledge is clustered according to both the personalized classification similarity and text similarity. Finally, the topics of each cluster are identified. In the topic identification, both the weight of the term in the text and the weight of the term in the tags are integrated. The experiment shows that proposed method is feasible and performs well.Index Terms-Knowledge map, knowledge management systems, personalized knowledge map.