高教学刊2026，Vol.12Issue(15)：1-5,5.DOI:10.19980/j.CN23-1593/G4.2026.15.001
AI赋能机床数控技术及应用数字教材知识图谱构建研究
摘要
Abstract
To advance the transformation of educational methods and technologies and in response to the"14th Five-Year"plan for the development of higher education textbooks in strategic emerging fields,this research aims to innovate the presentation of textbook content through the construction of a knowledge graph-based"CNC Machine Tool Technology and Applications"textbook.Using an entity-relationship semantic network,a knowledge system is established,forming a knowledge graph ontology model.Natural language processing and deep learning technologies are applied to mine knowledge from the textbook content,with algorithms filtering and extracting key knowledge points.Algorithms are used to filter and extract relevant information,while methods such as alignment,correlation,and merging based on the knowledge graph are applied to build a CNC knowledge graph.A knowledge base architecture is designed for efficient knowledge data storage,and open-source large language models,along with intelligent inference algorithms,are integrated to create a natural language recognition and intelligent reasoning model based on the CNC knowledge graph.Additionally,the"CNC Xiao Pu"intelligent Q&A system is developed.Leveraging a virtual teaching and research platform,this AI-driven approach facilitates cross-disciplinary integration and knowledge fusion,aiding teachers in their instructional activities and providing a tool that enhances students'independent learning capabilities.关键词
机床数控技术/AI赋能/知识图谱/数控小谱/智能问答Key words
CNC Machine Tool Technology/AI-driven approach/knowledge graph/CNC Xiao Pu/intelligent Q&A分类
社会科学引用本文复制引用
冷晟,陈蔚芳,陈富星,朱海华..AI赋能机床数控技术及应用数字教材知识图谱构建研究[J].高教学刊,2026,12(15):1-5,5.基金项目
江苏省高等学校教学改革研究课题"面向新一代产品几何技术规范的机械工程专业课程体系研究与实践"(2019JSJG242) （2019JSJG242）
2024年度工业和信息化部"十四五"规划航空航天领域智能制造教材建设重点研究基地开放课题"基于知识图谱的《机床数控技术》教材建设研究"(教高厅函[2023]20号) （教高厅函[2023]20号）
