[目的/意义“] 事件”是人类社会活动的核心概念，也是情报活动的关键要素。随着机器学习、大数据、人工 智能等新兴技术的发展，一种以“事件”为研究对象的新技术——事理图谱应运而生。梳理和总结事理图谱研究 进展，为事理图谱的研究和应用提供借鉴。[方法/过程]查阅文献资料对事理图谱的概念、研究现状、关键技术进 行调研，并进行分析和总结。首先介绍事理图谱的基本概念、研究现状，然后总结构建事理图谱的总体技术框架， 接着重点阐述事理图谱的关键技术，最后提出事理图谱面临的挑战以及未来展望。[结果/结论]情报学研究正在 从静态对象逐步转向以“事件”为核心的动态对象的知识管理。事理图谱自2017年首次正式提出以来，正逐渐得 到学术界和业界的广泛关注，并在各领域取得应用成果，未来将为情报学研究提供有力的技术支撑。

[Purpose/significance] "Event" is the core concept of human social activities and the key element of intelli⁃ gence activities. With the development of machine learning, big data, artificial intelligence and other emerging technol⁃ ogies, a new technology with event as the research object, named "Event Evolution Graph" (EEG), comes into being. This paper sorts out and summarizes the research advance of the EEG, so as to provide reference for the research and application of this technology. [Method/process] The concept, research status and key technologies of the EEG were investigated, analyzed and summarized based on literature research. Firstly, this paper introduces the basic concept and research status. Then, the overall technical framework is summarized and the key technologies related are dis⁃ cussed in detail. Finally, the challenges faced and future prospects of the EEG are proposed. [Result/conclusion] At present, information science research is gradually changing from static object to dynamic object knowledge manage⁃ ment with event as the core. Since it was first proposed in 2017, the EEG has gradually attracted extensive attention from academia and the industry, and has achieved application results in various fields, which will provide strong techni⁃ cal support for the research of information science in the future.