Abstract：The knowledge graph can organize big data resources in risk management into a structured knowledge system and integrate deep learning technology to promote intelligent risk management.Applying the knowledge map to risk management，studying how to integrate multi-source heterogeneous data，and constructing a knowledge map that meets the field′s specific needs，which improve the capacity of risk management，has become the main task of the knowledge map research in risk management.The article summarizes the framework of the knowledge map system，and then summarizes the status quo of knowledge map construction technology from the aspects such as knowledge representation，knowledge extraction，knowledge fusion，and knowledge reasoning，and eventually summarizes the knowledge map in risk identification，early warning，and prevention，to analyze the future development trend of knowledge graph′s applications in risk management.The existing research data in the field is single-source and gives a one-sided research perspective.It does not consider issues such as knowledge organization in risk management and the value of knowledge in the big data field;research on knowledge graph is also limited to solving static risk management problems.In the future，it is necessary to introduce time data into the knowledge map of the risk management field and with the integration of deep learning technology to realize an intelligent knowledge service model that better meets risk management′s needs.
杨波,杨美芳. 知识图谱研究综述及其在风险管理领域应用[J]. 小型微型计算机系统, 2021, 42(8): 1610-1618.
YANG Bo,YANG Mei-fang. Research Review of Knowledge Graph and Its Application in Risk Management. Journal of Chinese Computer Systems, 2021, 42(8): 1610-1618.
2021, Vol. 42 
