突发公共卫生事件的爆发给人民的生命财产安全造成巨大的威胁。突发公共卫生事件应对政策（以下简称“突发公共卫生事件政策”）是公众了解政府应对突发公共卫生事件最为直接有效的工具，公众往往通过政府出台的政策来查询政府应对突发公共卫生事件的具体方案和策略，并寻找与自身相关的政策知识资源。当前，不同群体在查询突发公共卫生事件政策中所需的知识资源时，存在检索效率低、检索过程耗时且无法快速定位政策文本中关键内容的问题。因此，如何对突发公共卫生事件政策文本进行细粒度知识表示和组织，以满足不同群体日益增长的对快速、精准、智能化政策内容获取方式的渴求，是突发公共卫生事件政策知识组织领域的研究重点。

为了解决上述不同群体获取突发公共卫生事件政策资源的困境，本文尝试从细粒度知识组织的视角出发，研究突发公共卫生事件政策的知识表示和组织方法。本文的工作主要包含以下方面：

（1）设计突发公共卫生事件政策细粒度组织框架。首先，本文系统地分析了突发公共卫生事件政策的文本结构，对单篇突发公共卫生事件政策的语义结构特征进行解析；其次，调研现有突发公共卫生事件政策检索平台知识组织现状和不同群体的政策精准性检索需求，并在此基础上提出了包含突发公共卫生事件政策资源层、政策细粒度知识表示层、政策细粒度知识组织层和突发公共卫生事件政策知识检索平台构建与知识发现层的突发公共卫生事件政策知识组织体系架构。最后，设计突发公共卫生事件政策知识表示的数学模型，将政策内容条例表示成具有同一形式的细粒度知识特征单元，该框架为突发公共卫生事件政策的细粒度组织研究奠定基础。

（2）提出基于知识元本体的突发公共卫生事件政策细粒度组织方法，并以新冠肺炎疫情为例，制定突发公共卫生事件政策细粒度组织的实验及结果分析思路。首先，在突发公共卫生事件政策知识表示模型的基础上，充分发挥语义链接网络在语义关系组织方面的优势，提出了包含突发公共卫生事件政策数据层、政策特征知识元表示层和政策特征知识元语义链接层的突发公共卫生事件政策语义链接网络；其次，运用protégé本体编辑工具完成突发公共卫生事件政策知识元本体概念模式层的构建，并对其进行知识推理和功能性检验；最后，以新冠肺炎疫情为例，制定突发公共卫生事件政策细粒度组织的实验及结果分析思路。该思路主要包含新冠政策知识检索平台的构建、新冠政策信息关联和可视化以及新冠政策知识挖掘与发现三个方面。该部分内容是满足不同群体精准性政策查询需求的理论基础。

（3）以新冠肺炎疫情为例，进行突发公共卫生事件政策细粒度组织的实验及结果分析。首先，在突发公共卫生事件政策细粒度表示和组织方法的基础上，构建PKMO 政策知识检索平台，并将政策细粒度知识检索的过程、结果进行对比分析；其次，基于突发公共卫生事件政策知识元本体和不同政策存储方式进行新冠政策的信息关联和可视化查询，验证突发公共卫生事件政策细粒度组织方法的有效性和可行性并对其进行修正；随后，基于突发公共卫生事件政策的外部特征和内容特征进行新冠政策知识挖掘与知识发现；最后，建立一个基于不同群体的新冠政策查询情景，从不同群体使用视角，对政策知识检索平台进行测评。结果表明，本文所述突发公共卫生事件政策细粒度表示及组织方法，在提升不同群体政策检索效率的同时，还能够挖掘政策特征知识元之间隐含的语义链，促进不同群体对政策资源的获取、共享与交流。

The outbreak of sudden public health incidents poses a huge threat to the safety of people's lives and property. The emergency response policy for public health emergencies (hereinafter referred to as the "emergency response policy") is the most direct and effective tool for the public to understand the government's response to public health emergencies. The public often queries the government's specific plans and strategies for responding to public health emergencies through policies issued by the government, and seeks policy knowledge resources related to themselves. Currently, there are issues with low retrieval efficiency, time-consuming retrieval process, and inability to quickly locate key content in policy texts when different groups query the knowledge resources required for public health emergency policies. Therefore, how to conduct fine-grained Knowledge representation and reasoning and organization of policy texts for public health emergencies to meet the growing desire of different groups for fast, accurate and intelligent access to policy content is the research focus in the field of public health emergency policy knowledge organization.

In order to solve the dilemma of different groups' access to policy resources for public health emergencies, this paper attempts to study the Knowledge representation and reasoning and organization methods of public health emergencies policies from the perspective of fine-grained knowledge organization. The work of this article mainly includes the following aspects:

(1) Propose a fine-grained organizational framework for policies related to public health emergencies. Firstly, this article systematically analyzes the text structure of public health emergency policies and analyzes the semantic structural features of individual public health emergency policies; Secondly, we investigated the current situation of knowledge organization of the existing public health emergency policy retrieval platform and the demand for policy precision retrieval of different groups, and on this basis, we proposed a public health emergency policy knowledge organization system architecture that includes the public health emergency policy resource layer, policy fine-grained Knowledge representation and reasoning layer, policy fine-grained knowledge organization layer, and policy knowledge retrieval platform construction and knowledge discovery layer. Finally, a mathematical model of policy Knowledge representation and reasoning for public health emergencies is designed, and the policy content regulations are expressed as fine-grained knowledge feature units with the same form. This framework lays the foundation for the research on fine-grained organization of public health emergencies policies.

(2) Design a fine-grained policy organization method for public health emergencies based on knowledge element ontology, and take COVID-19 policy as an example, put forward the idea of building a policy knowledge retrieval platform and knowledge discovery. Firstly, based on the Knowledge representation and reasoning model of public health emergency policy, the semantic link network of public health emergency policy is proposed, which includes the policy data layer of public health emergency, the Presentation layer of policy feature knowledge element and the semantic link layer of policy feature knowledge element; Secondly, use the protégé ontology editing tool to construct the conceptual model layer of the sudden public health event policy knowledge meta ontology, and conduct knowledge reasoning and functional testing on it; Finally, the paper puts forward the idea of building COVID-19 policy knowledge retrieval platform and knowledge discovery. This idea mainly includes three aspects: the construction of COVID-19 policy knowledge retrieval platform, the association and visualization of COVID-19 policy information, and the mining and discovery of COVID-19 policy knowledge. This section is the theoretical basis for meeting the precise policy query needs of different groups.

(3) Taking the COVID-19 as an example, the experiment and result analysis of fine-grained organization of public health emergency policy were carried out. First, on the basis of the policy fine-grained Knowledge representation and reasoning and organizational methods of public health emergencies, a PKMO policy knowledge retrieval platform is constructed, and the process and results of policy fine-grained knowledge retrieval are displayed and compared; Secondly, based on the policy knowledge unit ontology of public health emergencies and different policy storage methods, the information association and visual query of COVID-19 policies are carried out to verify the rationality of the fine-grained organization method of public health emergencies policies and revise it; Then, based on the external characteristics and content characteristics of public health emergency policies, COVID-19 policy knowledge mining and knowledge discovery are carried out; Finally, establish a COVID-19 policy query scenario based on different groups, and evaluate the policy knowledge retrieval platform from the perspective of different groups. The results show that the policy Knowledge representation and reasoning and organization methods of public health emergencies described in this paper can not only improve the retrieval efficiency of COVID-19 policies for different groups, but also can mine the implied semantic chain between COVID-19 policy feature knowledge elements, and promote the acquisition, sharing and exchange of COVID-19 policy resources among different groups.

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