Journal of Information Resources Management ›› 2022, Vol. 12 ›› Issue (3): 137-151.doi: 10.13365/j.jirm.2022.03.137

Special Issue: 数字经济时代信息技术在应急管理中的理论与实践

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Research on Construction and Analysis of Financial Emergencies Knowledge Graph with Event Logical for Emergency Management

Liu Zhenghao1,2,3 Zeng Xi1 Zhang Zhijian1,2,3   

  1. 1.School of Information Management, Wuhan University, Wuhan, 430072; 
    2.Institute of Big Data, Wuhan University, Wuhan, 430072, China;
    3.Center for Studies of Information Resources, Wuhan University, Wuhan,430072
  • Online:2022-05-26 Published:2022-06-26

Abstract: The outbreak and evolution of financial emergencies are not conducive to the stability of financial markets, and exacerbate the possibility of systemic risks. In order to timely analyze and respond to financial emergencies and improve the emergency management mechanism, it is proposed to build a knowledge graph with event logical(KGEL)of financial emergencies to reveal the evolution mechanism of emergencies and assist emergency management and decision-making. Based on the perspective of knowledge-driven event association and evolution, the study selects high-quality financial emergency text data from a large number of financial news reports and constructs a two-tier structure KGEL with 199,736 events and knowledge entities and 444,950 relationships through ontology design, event extraction and event generalization. It also analyzes the evolution logic of emergencies through cases of Baoshang Bank, to provide corresponding suggestions for the improvement scheme and countermeasures of emergency management capability based on the graph. The study results show that the KGEL of financial emergencies can deeply and comprehensively reveal the evolution logic and risk transmission law of financial emergencies, and provide scientific and effective analysis ideas for emergency management of financial emergencies.

Key words: Financial Emergency, Knowledge Graph with Event Logical, Event Evolution, Emergency Management, Financial Risk

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