基于本体知识图谱的在线学习资源推荐模型研究  

Research on Online Learning Resource Recommendation Model Based on Ontology Knowledge Graph

作　　者：杨夏[1] YANG Xia(Hunan Vocational College of Science and Technology,Changsha Hunan 410004,China)

机构地区：[1]湖南科技职业学院,湖南长沙410004

出　　处：《信息与电脑》2021年第6期248-250,共3页Information & Computer

基　　金：湖南省自然科学基金科教联合资助项目(项目编号:2019JJ70062);湖南省教育厅科学研究资助项目(项目编号:18C1437)。

摘　　要：为了提高在线学习的效率和有效性,笔者提出用本体论建立学习者与学习资源之间的关系,使用本体构建知识图谱,实现个性化推荐。该模型提出了用三个本体来构建学习者、课程和学习对象的知识图谱,学习路径可以通过课程本体与学习者本体的相似度匹配进行建立,也可以采用前人的学习经验,最后通过匹配学习者特征与学习对象本体推荐个性化的学习内容。实验结果表明,所提出的模型能够提高学习效率。In order to improve the efficiency and effectiveness of online learning, it is proposed to use ontology to establish the relationship between learners and their preference for learning resources, and to use ontology to construct a knowledge graph to achieve personalized recommendation. The model proposes to use three ontologies to construct a knowledge map of learners, courses, and learning objects. The learning path can be established by matching the similarity of the curriculum ontology and the learner’s ontology, or the learning experience of predecessors can be used, and finally through learning Match the characteristics of the learner with the ontology of the learning object and recommend personalized learning content. Form a personalized learning experience through the evaluation of learning paths, and recommend reuse on the basis of similar comparisons. Experimental results show that the proposed model can improve learning performance.

关 键 词：本体 知识图谱 学习路径 推荐模型 

分 类 号：TP202[自动化与计算机技术—检测技术与自动化装置]