[目的/意义]知识萃取是将知识菁华酿造出来的过程，是提升知识质量的必经之路。掌握知识萃取的方法和技术，对于知识工作者而言，是提升其职场综合素质的必备能力。[方法/过程]在知识萃取实践案例基础上，提炼知识萃取应用框架（KEAF）模型，其横向代表知识萃取的操作执行流程，纵向代表知识萃取的内容创造过程。基于企业不同的知识应用场景，各类知识工作者们就能够进行实际操作和应用。[结果/结论]知识萃取应用框架KEAF模型具有极佳的实战价值，能够让企业知识工作者快速上手，学习掌握萃取知识的精髓，提升知识创造的效率和质量。

[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.