Dataset - Reciprocal_Relationship_Of_KGs_And_LLMs

The dataset for this research consists of <b>77 systematically selected studies</b> that explore the <b>integration of Large Language Models (LLMs) and Knowledge Graphs (KGs)</b>. It was compiled using <b>a structured PRISMA-ScR methodology</b>, refining an initial pool of <b>3,658 research papers</b> down to the most relevant studies. The dataset includes <b>peer-reviewed journal articles and conference papers</b> spanning domains such as <b>healthcare, finance, justice, education, and industrial automation</b>.

本研究所用数据集包含**77篇经系统筛选的研究文献**，相关研究聚焦于**大语言模型（Large Language Models，LLMs）与知识图谱（Knowledge Graphs，KGs）的融合方向**。该数据集采用**结构化PRISMA-ScR方法**进行汇编，从初始收录的3658篇研究论文中筛选得到最具相关性的研究成果。本数据集涵盖**经同行评议的期刊论文与会议论文**，覆盖医疗健康、金融、司法、教育及工业自动化等多个研究领域。