版权说明 操作指南
首页 > 成果 > 详情

Automatic Construction of Subject Knowledge Graph based on Educational Big Data

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
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
关键词:
Big data;Graphic methods;Natural language processing systems;Semantics;Automatic construction;Automatic construction methods;Educational Applications;Evaluation models;Manual annotation;Normalized Google distances;Semantic similarity;Teaching resources;Knowledge representation
期刊:
ICBDE '20: Proceedings of the 2020 3rd International Conference on Big Data and Education
年:
2020
页码:
Pages 30–36
会议论文集名称:
ICBDE '20: Proceedings of the 2020 3rd International Conference on Big Data and Education
出版地:
New York, NY, United States
出版者:
Association for Computing Machinery
ISBN:
9781450374989
基金类别:
This work was partially supported by National Natural Science Foundation of China (61977032), Guiding Project of Science Research plan of Education Department of Hubei Province (B2018349) and Project of State Language Commission of China (ZDI135-99). We would thank the anonymous reviewers for their hard working. Yong Zhang is the corresponding author.
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...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com