融合多模态资源的教育知识图谱的内涵、技术与应用研究
传统的教育知识图谱研究多数面向文本资源,忽略了多模态资源对教育知识的解读作用及其自身丰富的特征表示。为了更好地推进后续研究工作,以多模态资源为切入点,对教育知识图谱进行综述。首先,介绍了知识图谱的概念和分类;其次,综述了教育知识图谱的内涵,对教育知识图谱的定义、分类及其构建框架进行梳理;接下来,结合以神经网络为代表的深度学习方式,对教育知识图谱的构建技术进行重点介绍;最后,总结了教育知识图谱的相关应用,并指出当前研究中存在的问题与未来的研究方向。
he traditional research on educational knowledge graph is mostly text-oriented and ignores the interpretation function of multimodal resources to educational knowledge and its rich characteristic representation. In order to better promote the follow-up research work, this paper reviews the educational knowledge graph from the perspective of multi-modal resources. Firstly, it introduces the concept and classification of knowledge graph. Secondly, it introduces the connotation of the educational knowledge graph, summarizes the definition, classification and construction framework of educational knowledge graph; Thirdly, combined with deep learning represented by neural network, it introduces the construction technology of educational knowledge graph. Finally, it summarizes the specific application of the educational knowledge graph, points out the problems existing in current research and future research directions.
高茂、张丽萍
教育信息传播、知识传播科学、科学研究
教育知识图谱多模态资源深度学习知识图谱构建技术
高茂,张丽萍.融合多模态资源的教育知识图谱的内涵、技术与应用研究[EB/OL].(2022-04-07)[2025-08-02].https://chinaxiv.org/abs/202204.00046.点此复制
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