摘要
构建面向突发公共卫生事件的政府应急管理政策知识图谱,利用知识互联及可视化优势,分析梳理各管理部门的应急政策发布、传递及部署措施,建立多元输入协调联动机制,提高突发公共卫生事件的应急治理效率。以新冠疫情为例,通过本体模式构建、BiLSTM+CNN-CRF算法进行实体关系抽取、数据填充,基于规则和表示进行知识推理,以及基于Neo4j进行可视化图谱构建。对图谱的抽检结果表明,图谱构建质量良好,推理情况均符合逻辑。基于该图谱,可以构建出信息传递网络,改进突发公共卫生事件中政策信息传递混乱无序、政策措施缺少关联、政策发布部门缺少协调等常见问题,提供应急管理政策制定、发布与流转的快速应急通道,为克服特殊时期应急管理的不足带来新的途径。
This paper takes the advantage of knowledge interconnection and visualization to construct a knowledge graph of the government’s emergency management of public health emergencies.It combed the emergency policies’transmission and deployment measures of various management departments,established a multi-input coordination and linkage mechanism to improve the governance efficiency of public health emergencies.The policies on COVID-19 were taken as examples,a huge knowledge database of emergency management policy was con-structed through the process of ontology modeling,BiLSTM+CNN-CRF algorithm for entity relationship extraction,knowledge reasoning based on rules and representations,and neo4j for graph’s visualization,etc.It´s proved to have a great quality by sampling results of the graph.In this way a visual information transmission network is presented,which improves the status quo of the lack of relevance of common policies and disorderly information transmission in public health emergencies.It creates a fast emergency response channel for the formulation,re-lease,and circulation of emergency management policies,and overcomes the shortcomings of emergency management in special periods.
作者
管雨涵
刘勘
GUAN Yuhan;LIU Kan(School of Management,Huazhong University of Science and Technology,Wuhan 430074,China;School of Information and Security Engineering,Zhongnan University of Economics and Law,Wuhan 430073,China)
出处
《软件导刊》
2023年第9期113-123,共11页
Software Guide
基金
国家自然科学基金项目(72174156)
中央高校基本科研业务费专项资金项目(2722021EK016)。
关键词
突发公共卫生事件
知识图谱
应急管理
可视化图谱构建
public health emergencies
knowledge graph
emergency management
visualization graph construction
