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Automatic Construction of Subject Knowledge Graph based on Educational Big Data

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成果类型:
期刊论文、会议论文
作者:
Ying Su;Yong Zhang
作者机构:
[Ying Su] College of Information Science and Engineering, Wuchang Shouyi University, Wuhan, China
[Yong Zhang] Computer School, Central China Normal University, Wuhan, Hubei Province, China
语种:
英文
期刊:
ICBDE '20: Proceedings of the 2020 3rd International Conference on Big Data and Education
年:
2020
页码:
Pages 30–36
会议名称:
978-1-4503-7498-9
会议论文集名称:
ICBDE '20: Proceedings of the 2020 The 3rd International Conference on Big Data and Education
会议时间:
April, 2020
会议地点:
London United Kingdom
出版者:
Association for Computing Machinery New York NY United States
ISBN:
978-1-4503-7498-9
机构署名:
本校为其他机构
院系归属:
计算机学院
摘要:
In this paper, we propose an automatic construction method of subject knowledge graph for educational applications. The subject knowledge graph is constructed based on educational big data by using a bootstrapping strategy to gradually expand knowledge points and connections between them. In this paper two different datasets are used. One is the subject teaching resources such as syllabuses, teaching plans, textbooks and etc., which is used to automatically construct the core of subject knowledge graph so as to reduce the dependence on the manual annotation. Meanwhile the high-quality of subje...

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