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高校人工智能课程多模态知识图谱构建及可视化

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人工智能课程在教学过程面临着知识概念多、理论抽象等问题,不利于学生理解相关知识点.文章采用机器学习方法,通过数据收集与实体关系分类体系构建、实体关系抽取、多模态资源链接3个步骤自动构建了人工智能课程多模态知识图谱,并对其进行了可视化展示.
The Construction and Visualization of Multimodal Course Knowledge Graph in University
The teaching process of artificial intelligence courses faces problems such as multiple knowledge concepts and abstract theories,which are not conducive to students understanding relevant knowledge points.The article adopts machine learning methods to automatically construct a multimodal knowledge graph for artificial intelligence courses through three steps:data collection and entity relationship classification system construction,entity relationship extraction,and multimodal resource linking,and visualizes it.

multimodalcourse knowledge graphhigher education

张坤丽、朱辰康

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郑州大学计算机与人工智能学院,河南郑州 450001

多模态 课程知识图谱 高等教育

郑州大学教育教学改革研究与实践项目

2022ZZUJG040

2024

信息与电脑
北京电子控股有限责任公司

信息与电脑

影响因子:1.143
ISSN:1003-9767
年,卷(期):2024.36(3)
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