计算机工程与应用2025，Vol.61Issue(11)：195-203,9.DOI:10.3778/j.issn.1002-8331.2402-0138
结合因果强度和扩充元组的突发公共事件事理图谱构建
Construction of Event Knowledge Graph of Public Emergencies Combining Causal Intensity and Expanded Tuples
摘要
Abstract
Public emergencies do serious harm to society,and analyzing the text of public emergencies can assist in the establishment of a social early-warning mechanism and improve the efficiency of emergency management of public emer-gencies.As a result,this paper proposes the construction method of public emergency event knowledge graph by combining causal intensity and expanded tuple.In terms of corpus selection,news texts and policy texts are selected to ensure the timeliness and specialization of the corpus.In the construction of event knowledge graph,based on the direct causal words,it combines with linguistics to realize causal word expansion.According to the expanded syntactic pattern com-bined with causal intensity,the paper extracts causal event sentences,realizes the event extraction based on the expanded se-mantic tuple,and finally generalizes and aligns the extracted events to improve the applicability.The experiment proves that the method can extract the events and their causal relations in the text more effectively,and the event knowledge graph constructed accordingly can reflect the governance ideas in the national emergency plan documents,thus providing reference value for assisting relevant decision-making.关键词
事理图谱/突发公共事件/BERT/因果强度/语义元组Key words
event knowledge graph/public emergencies/BERT/causal intensity/semantic tuple分类
信息技术与安全科学引用本文复制引用
任俊玲,戴景劢..结合因果强度和扩充元组的突发公共事件事理图谱构建[J].计算机工程与应用,2025,61(11):195-203,9.基金项目
教育部人文社会科学研究项目(20YJAZH046). （20YJAZH046）
