[Purpose/significance] With the highly increasing demand on the quality of organizational knowledge, this study on knowledge extraction methods aims to promote organizational knowledge mining, processing, refining, and improve the organizational knowledge replication, promotion, application level, which has great significance. [Method/process] Through the research of knowledge extraction from the relevant academic literature and industry practices, the concept of knowledge extraction, the PREFS® process method and the STAR® content model have been proposed. Then, they have been applied and validated in real business practices. [Result/conclusion] Knowledge extraction is necessary for enterprise knowledge management, and the PREFS® process method and the STAR® content model have practical value. Through knowledge extraction, not only can the best organizational practice be transformed into knowledge products which can inherit the wisdom of the organization, but also the knowledge management strategy can be implemented as the starting point.