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Construction, Visualization and Application of Knowledge Graph of Computer Science Major

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成果类型:
期刊论文、会议论文
作者:
Li, Yu;Zhao, Jingjing;Yang, Liping;Zhang, Yong*
通讯作者:
Zhang, Yong
作者机构:
[Li, Yu; Zhao, Jingjing; Yang, Liping; Zhang, Yong] Cent China Normal Univ, Comp Sch, Wuhan, Hubei, Peoples R China.
通讯机构:
[Zhang, Yong] C
Cent China Normal Univ, Comp Sch, Wuhan, Hubei, Peoples R China.
语种:
英文
关键词:
Big data;Knowledge representation;Visualization;Websites;Entity relation extractions;Graph visualization;Intelligent educations;Knowledge graphs;Normalized Google distances;Engineering education
期刊:
ACM International Conference Proceeding Series
年:
2019
页码:
43-47
会议论文集名称:
ICBDE '19: Proceedings of the 2019 International Conference on Big Data and Education
出版地:
New York, NY, United States
出版者:
Association for Computing Machinery
ISBN:
9781450361866
基金类别:
Project of Chinese State Language Commission in the Thirteenth Five-year Plan Period [YB135-39]; self-determined research funds of CCNU from the colleges' basic research and operation of MOE [CCNU18TS016]; Project of Colleges or Universities Teaching Research of Hubei Province, China [2017091]; CCNU [2017038]; Project in College Students' Innovation and Entrepreneurship Plan
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
摘要:
To make full use of specialized vocabulary in computer science and discover relationships among these words, a Chinese knowledge graph of computer science major is constructed based on the internet web pages, and then the knowledge graph visualization and application for learning guidance based on it are developed. For the construction of computer science knowledge graph, a small amount of important specialized words in computer science are collected manually, and then these words are extended based on Baidu Baike (baike.baidu.com). Thus we get about 3000 specialized words (called entries). Th...

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