[Purpose/significance] Knowledge extraction is a process that brews knowledge and is the necessary way to improve the quality of knowledge. Mastering the methods and techniques of knowledge extraction is a basic ability for knowledge workers to improve their comprehensive quality during their work.[Method/process] Based on practice cases, the KEAF (Knowledge Extraction Application Framework) model has been refined, in which the operation procedure of knowledge extraction is represented horizontally and the content creating process of knowledge extraction is represented vertically. It can be used for practical application according to different knowledge application scenarios.[Result/conclusion] KEAF model has excellent practical value, which can make enterprise knowledge workers quickly start, learn the essence of knowledge extraction, and improve the efficiency and quality of knowledge creation.