现代信息科技2026，Vol.10Issue(6)：161-168,8.DOI:10.19850/j.cnki.2096-4706.2026.06.030
基于大模型的人因工程实验教学知识图谱构建方法研究
Research on Knowledge Graph Construction Methods for Human Factors Engineering Experimental Teaching Based on LLMs
姚彦孜 1严京滨1
作者信息
- 1. 清华大学 工业工程系,北京 100084
- 折叠
摘要
Abstract
To address the complexity,resource fragmentation,and weak logical structure in human factors engineering experimental teaching,this study proposes a method for constructing a knowledge graph for human factors engineering experimental teaching based on Large Language Models(LLMs).By constructing a standardized corpus for human factors engineering,designing the conceptual nodes and a knowledge ontology,and fine-tuning the GLM-4-Flash model,the accurate semantic analysis of human factors experimental design is finally achieved.Meanwhile,the Neo4j graph database is used to dynamically construct the Knowledge Graph to lower the barrier to knowledge learning.The innovation of this study lies in the first-time in-depth integration of LLM-based semantic understanding and dynamic graph construction in the field of human factors engineering experimental teaching,providing a scalable technical solution for the intellectualization of human factors engineering experimental teaching.关键词
人因工程/实验教学/知识图谱/Neo4j图数据库Key words
human factors engineering/experimental teaching/Knowledge Graph/Neo4j graph database分类
信息技术与安全科学引用本文复制引用
姚彦孜,严京滨..基于大模型的人因工程实验教学知识图谱构建方法研究[J].现代信息科技,2026,10(6):161-168,8.
