数字图书馆论坛2025，Vol.21Issue(5)：1-10,10.DOI:10.3772/j.issn.1673-2286.2025.05.001
大语言模型与知识图谱协同增强知识组织理论架构研究
Collaborative Enhancement of Knowledge Organization Theoretical Framework by Large Language Model and Knowledge Graph
摘要
Abstract
This study explores the collaborative enhancement model of large language model(LLM)and knowledge graph(KG)in knowledge organization,aiming to improve the accuracy and efficiency of knowledge organization.The research combines the natural language processing and knowledge generation capabilities of LLM with the structured expression and reasoning capabilities of KG,proposing a collaborative enhancement method for knowledge organization.First,we systematically review the theoretical and practical development of the existing KG applied to knowledge semantic organization,and sort out the applications of LLM in scientific knowledge extraction,entity alignment,and graph fusion.We demonstrate the optimization principle of KG storage and retrieval,and investigate typical projects of the collaborative application of LLM and KG.Then,based on research and induction,aiming at the specific operation links of knowledge organization,we explore the reasonable steps of embedding LLM,reconstruct the KG to realize the intelligent process of knowledge organization,and summarize the effective theoretical framework for enhancing knowledge organization through the collaboration of graph and model.The study concludes that the collaboration between graph and model can significantly improve the precision and explainability of knowledge organization,especially in cross-domain,multi-source,and heterogeneous knowledge processing.It effectively reduces the hallucination issues of LLM while enhancing the accuracy and interactivity of scientific knowledge retrieval and knowledge Q&A.关键词
知识组织/大语言模型/知识图谱/协同增强/语义组织Key words
Knowledge Organization/Large Language Model/Knowledge Graph/Collaborative Enhancement/Semantic Organization分类
社会科学引用本文复制引用
张心源,肖浩宇,李白杨..大语言模型与知识图谱协同增强知识组织理论架构研究[J].数字图书馆论坛,2025,21(5):1-10,10.基金项目
本研究得到教育部人文社科青年基金项目"全球数据主权博弈背景下健全我国数据跨境流动规则体系研究"(编号:21YJC870019)资助. （编号:21YJC870019）
