Proceedings of the 2018 International Conference on Education Reform and Management Science (ERMS 2018)

A Knowledge Graph for Curriculum System

Authors
Ying-bo Dong, Xia Hou
Corresponding Author
Ying-bo Dong
Available Online April 2018.
DOI
10.2991/erms-18.2018.78How to use a DOI?
Keywords
Knowledge Graph, Graph database, Curriculum system
Abstract

In view of the large number of college courses, complex content and complex system context, it brings a lot of inconvenience to the course arrangement and analysis. A method of constructing a curriculum system based on knowledge Graph is proposed on This paper, by analyzing the attributes of the course and the pre-requisition of each other, extract the relationship between the precursor and the successor of course, we create a curriculum system based on knowledge graph, it use the graph database Neo4j for data storage and display. Use the system we can analyze the relationship between analytic course clearly, get some information that hard to draw in the artificial way, it contributes to the carding the syllabus and the needs of the quick query course context information

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Education Reform and Management Science (ERMS 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
April 2018
ISBN
10.2991/erms-18.2018.78
ISSN
2352-5398
DOI
10.2991/erms-18.2018.78How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ying-bo Dong
AU  - Xia Hou
PY  - 2018/04
DA  - 2018/04
TI  - A Knowledge Graph for Curriculum System
BT  - Proceedings of the 2018 International Conference on Education Reform and Management Science (ERMS 2018)
PB  - Atlantis Press
SP  - 437
EP  - 441
SN  - 2352-5398
UR  - https://doi.org/10.2991/erms-18.2018.78
DO  - 10.2991/erms-18.2018.78
ID  - Dong2018/04
ER  -