大语言模型驱动下知识图谱的构建及应用综述OA

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.