[Purpose/significance] The reason why people can obtain the information and knowledge which they need quickly and conveniently in the Internet environment is that the information and knowledge they can retrieve come from an organized system, and knowledge organization is the key to forming an organized system. By sorting and classifying knowledge organization methods, this paper clarifies the core tasks of knowledge organization and its important role in information work and even in the field of knowledge retrieval. So that knowledge organization can still receive the atten? tion of information workers and continue to develop in the newly arrived era of big data. [Method/process] We sort out the development of knowledge organization, classify knowledge organization methods into basic knowledge architecture organization method, classification system construction organization method and relationship network establishment or? ganization method according to their functions. Then we describe the theoretical foundations of these knowledge organi? zation methods, and explain the roles and functions of each method in the knowledge organization environment of big data. [Conclusion/result] In order to maximize its utility in the new environment, the development of domain

knowledge organization can make adjustments in terms of specialization of logical expression language, more personalization and focus on real-time updating of knowledge, automatic logical reasoning and human-computer interaction, and more intelligence, so as to be able to better meet the challenges of the big data era.