|本期目录/Table of Contents|

[1]李诗轩.基于事理图谱的公共卫生事件次生衍生事件预警模型构建研究*[J].中国安全生产科学技术,2024,20(3):12-19.[doi:10.11731/j.issn.1673-193x.2024.03.002]
　LI Shixuan.Construction of early-warning model for secondary and derivative events of public health emergencies based on event evolutionary graph[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2024,20(3):12-19.[doi:10.11731/j.issn.1673-193x.2024.03.002]
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基于事理图谱的公共卫生事件次生衍生事件预警模型构建研究*
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
20
期数:
2024年3期
页码:
12-19
栏目:
学术论著
出版日期:
2024-03-31

文章信息/Info

Title:
Construction of early-warning model for secondary and derivative events of public health emergencies based on event evolutionary graph
文章编号:
1673-193X(2024)-03-0012-08
作者:
李诗轩
（武汉理工大学 安全科学与应急管理学院，湖北 武汉 430070）
Author(s):
LI Shixuan
(School of Safety Science and Emergency Management,Wuhan University of Technology,Wuhan Hubei 430070,China)
关键词:
公共卫生事件; 事理图谱; 次生衍生事件; 相似度计算; 可解释性预警
Keywords:
public health emergencies;  event evolutionary graph;  secondary and derivative events;  similarity calculation;  interpretable early-warning
分类号:
X928；X915.2
DOI:
10.11731/j.issn.1673-193x.2024.03.002
文献标志码:
A
摘要:
为了预判公共卫生事件演化态势，提出基于事理图谱的公共卫生事件次生衍生事件预警模型。利用2层本体实现结构化情景表示，综合利用预训练模型与深度神经网络实现事件抽取，运用模式匹配的方法抽取事件逻辑关系，融合词嵌入模型与聚类算法进行事件泛化，进而实现事理图谱构建，运用相似度计算与逻辑预测实现次生衍生事件预警，并以“甲型流感”和“肺炎支原体肺炎”事件为例进行实证研究。研究结果表明：“甲型流感”事理图谱能够清晰展示该事件与相关事件的逻辑关联，基于该事理图谱能够实现“肺炎支原体肺炎”事件的次生衍生事件预警。研究结果可为公共卫生事件次生衍生事件预防工作提供参考。
Abstract:
To predict the evolution situation of public health emergencies,an early-warning model for the secondary and derivative events of public health emergencies based on the event evolutionary graph was proposed.The two-layer ontology was utilized to achieve the structured scenario representation,the pre-training model and deep neural network were comprehensively applied to realize the event extraction,then the pattern matching approach was employed to extract the logical relationship of events,and the word embedding models and clustering algorithms were integrated to achieve the event generalization,thereby realizing the construction of event evolutionary graph,the similarity calculation and logical prediction were performed to achieve the early-warning for the secondary and derivative events.Moreover,the empirical research was conducted by employing “Influenza A virus” and “M.Pneumonia” events as examples.The results show that the “Influenza A virus” event evolutionary graph can clearly display the logical correlation between this event and the related events,and based on this graph,the secondary and derivative event early-warning for the “M.Pneumonia” event can be achieved.The research results can provide reference for predicting the secondary and derivative events of public health emergencies.

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备注/Memo

备注/Memo:
收稿日期： 2023-09-22
* 基金项目： 国家自然科学基金青年科学基金项目（72204194）；湖北创新发展研究院开放课题（CX2023-1-2）
作者简介： 李诗轩，博士，副教授，主要研究方向为知识组织与情报分析、应急舆情分析与文本挖掘。
更新日期/Last Update: 2024-04-07