郑州大学学报（理学版）2026，Vol.58Issue(2)：1-9,9.DOI:10.13705/j.issn.1671-6841.2024165
大语言模型驱动下知识图谱的构建及应用综述
A Survey on the Construction and Application of Knowledge Graphs Driven by Large Language Models
摘要
Abstract
With the support of large language models,knowledge graphs,characterized by their struc-tured and semantically rich features,enhanced data association and interpretability.This provided new research directions and application potential for complex knowledge reasoning and intelligent decision-making.Therefore,from the perspective of knowledge graphs,the latest progress in the construction and application of knowledge graphs driven by large language models was summarized.Firstly,the new meth-ods for building knowledge graphs were explored from the perspectives of knowledge modeling,informa-tion extraction,knowledge integration,and knowledge graph completion.Secondly,the applications of knowledge graphs in augmenting large language models,improving retrieval capabilities,and achieving mutual enhancement with large language models were investigated.Finally,the future directions of com-bining large language models with knowledge graphs were discussed.关键词
大语言模型/知识图谱/信息抽取/协同增强Key words
large language model/knowledge graph/information extraction/mutual enhancement分类
信息技术与安全科学引用本文复制引用
张坤丽,王影,付文慧,朱永其,张艳莉,昝红英..大语言模型驱动下知识图谱的构建及应用综述[J].郑州大学学报（理学版）,2026,58(2):1-9,9.基金项目
国家自然科学基金项目(U23A20316) （U23A20316）
河南省科技厅科技攻关项目(232102211039) （232102211039）
信息网络安全公安部重点实验室开放课题项目(C23600-04) （C23600-04）
