@inproceedings{39dc1fb33d1143cb87e784c68f04bc73,
title = "Automated Constmction of Course Knowledge Graph Based on China MOOC Platform",
abstract = "With the development of Internet technologies and the increasing demand for knowledge, more and more people choose online learning platform as a way to acquire knowledge. However, the rapid growth of course types and quantities make it difficult for people to make choice, which leads to a series of problems such as unsystematic learning process and low learning efficiency. Based on the current course situation of MOOC platforms, this paper proposes a new automated construction method of course knowledge graph. The course knowledge graph is constructed by an annotation of the pre-knowledge of each course and calculation the similarity between courses, and it is displayed through the Neo4j graph database platform. The work of this paper laid the foundation for learning path recommendation and provided ideas for the online learning platform construction.",
keywords = "MOOC, knowledge graph, learning path recommendation, smart learning",
author = "Lei Qiao and Chuantao Yin and Hui Chen and Honglu Sun and Wenge Rong and Zhang Xiong",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Engineering, Technology and Education, TALE 2019 ; Conference date: 08-04-2019 Through 11-04-2019",
year = "2019",
month = dec,
doi = "10.1109/TALE48000.2019.9225862",
language = "英语",
series = "TALE 2019 - 2019 IEEE International Conference on Engineering, Technology and Education",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "TALE 2019 - 2019 IEEE International Conference on Engineering, Technology and Education",
address = "美国",
}