现代信息科技2025，Vol.9Issue(8)：146-151,156,7.DOI:10.19850/j.cnki.2096-4706.2025.08.026
基于大语言模型的知识图谱构建及在灾害应急中的应用
Knowledge Graph Construction Based on Large Language Model and Its Application in Disaster Emergency
摘要
Abstract
China is one of the countries with the most serious natural disasters in the world.Typhoons,earthquakes,floods and other disasters occur frequently,posing a huge threat to the safety of people's lives and property.Facing the complexity and urgency of disaster emergency management,Knowledge Graph technology has gradually become a research hotspot in this field by virtue of its advantages in information integration,relationship mining and knowledge reasoning.However,the heterogeneity and quality of disaster data are not uniform,which limits the ability of traditional Natural Language Processing methods to extract Knowledge Graph information.Therefore,this paper proposes a Large Language Model knowledge extraction method based on distributed prompt strategy.Through requirement hints,domain knowledge hints and few-shot hints,the Large Language Model can automatically extract entities and relationships from unstructured data,which improves the automation and accuracy of Knowledge Graph construction.In order to verify the effect of Knowledge Graph based on Large Language Model in practical application,this paper takes the typhoon disaster emergency plan as an example to construct the corresponding Knowledge Graph and its intelligent question and answer system.关键词
知识图谱/大语言模型/知识抽取/智能问答Key words
Knowledge Graph/Large Language Model/knowledge extraction/intelligent question and answer分类
信息技术与安全科学引用本文复制引用
徐欢,吴梦飞,孙文学..基于大语言模型的知识图谱构建及在灾害应急中的应用[J].现代信息科技,2025,9(8):146-151,156,7.基金项目
湖州学院校级科研项目(2024HXKM09) （2024HXKM09）
