research-article

Construction and Application of Database Micro-course Knowledge Graph Based on Neo4j

Authors:

Junhua Bai,

Lei CheAuthors Info & Claims

CONF-CDS 2021: The 2nd International Conference on Computing and Data Science

Article No.: 68, Pages 1 - 5

https://doi.org/10.1145/3448734.3450798

Published: 17 May 2021 Publication History

Get Access

Abstract

Due to the sudden outbreak of COVID-19, Micro-lecture, as an important learning resource, can provide important support for enriching online teaching content and form under the realistic background of "keeping students learning during schools disruption". However, there are many problems in the construction of micro-lectures, such as the lack of systematicness and organization due to the multiplicity of knowledge points. Based on the database course, this paper builds the knowledge graph of database micro-lectures based on Neo4j, develops the knowledge graph system of the course to visualize the knowledge vividly, and designs different system functions according to different roles. The system not only supports students' online learning, but also provides knowledge graph management functions for teachers, which greatly meets users' needs.

References

[1]

Liu Jie, Yang Juan, Liao Xuehua, Research on the Differences of Learner Knowledge Integration in SPOC Learning .China Distance Education (Comprehensive Edition), 000(001), pp. 36-46. 2019.

Google Scholar

[2]

Sunita B. Aher, L.M.R.J. Lobo. Combination of machine learning algorithms for recommendation of courses in E-Learning System based on historical data. vol. 51, pp. 1-14. 2013.

Digital Library

Google Scholar

[3]

Zhong Botao, Wu Haitao, Tao Chanjuan, etc. A review of the current research status of engineering ethics education based on knowledge graphs .Higher Architectural Education, vol. 29, no. 02, pp. 122-129. 2020.

Google Scholar

[4]

Liu Qiao, Li Yang, Duan Hong Overview of knowledge graph construction technology. Computer Research and Development, vol. 53, no. 3, pp. 582-600. 2016.

Google Scholar

[5]

Lu Xiaohua, Zhang Yu, Qian Jin. Research on the Application of Movie Knowledge Graph Based on Graph Database. Modern Computer (Professional Edition), vol. 07, pp. 76-83. 2016.

Google Scholar

[6]

Huang Huan, Marshal, He Tingting, etc. Research on the Construction of Curriculum Knowledge Graph for Adaptive Learning System——Taking "Java Programming Fundamentals" as an example. Modern Educational Technology, vol. 29, no. 12, pp. 89-95. 2019.

Google Scholar

[7]

Xu Zenglin, Sheng Yongpan, He Lirong, Overview of Knowledge Graph Technology. Journal of University of Electronic Science and Technology of China, vol. 45, no. 04, pp. 589-606. 2016.

Google Scholar

[8]

Zhao Jun. Knowledge Graph. Beijing: Higher Education Press, 2018.

Google Scholar

[9]

Ren Feiliang, Shen Jikun, Sun Binbin. Overview of the construction of domain ontology technology from text. Chinese Journal of Computers, vol. 42, no. 03, pp. 654-676. 2019.

Google Scholar

[10]

Yang Zhuo. Design and implementation of a visualized service platform for vertical knowledge graphs. Beijing University of Posts and Telecommunications, 2019.

Google Scholar

[11]

Yue Lixin, Liu Ziqiang, Xu Haiyun. Research on the Construction of Domain Knowledge Graph Based on Interactive Visualization. Information Science, vol. 38, no. 06, pp. 145-150. 2020.

Google Scholar

Cited By

View all

Zinovieva ISytnyk NDenisova OArtemchuk V(2024)Support for the Development of Educational Programs with Graph Database TechnologyData-Centric Business and Applications10.1007/978-3-031-54012-7_14(315-338)Online publication date: 8-Apr-2024
https://doi.org/10.1007/978-3-031-54012-7_14
Li X(2023)Online Course Construction of Higher Mathematics Based on InternetInnovative Computing Vol 2 - Emerging Topics in Future Internet10.1007/978-981-99-2287-1_46(324-331)Online publication date: 1-May-2023
https://doi.org/10.1007/978-981-99-2287-1_46
Qiao LLi HWang WWang D(2022)A Knowledge Graph Construction Method for Food Nutrition2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)10.1109/WI-IAT55865.2022.00091(577-581)Online publication date: Nov-2022
https://doi.org/10.1109/WI-IAT55865.2022.00091
Show More Cited By

Index Terms

Construction and Application of Database Micro-course Knowledge Graph Based on Neo4j
1. Applied computing
  1. Education
2. Information systems

Index terms have been assigned to the content through auto-classification.

Recommendations

Scholar-Course Knowledge Graph Construction Based on Graph Database Storage
Emerging Technologies for Education
Abstract
Knowledge graph is an effective way to model and represent complex linked data, which have attracted broad research in recent years and have been applied in different fields. Considering the data characteristics and development needs of course ...
Graph Databases Comparison: AllegroGraph, ArangoDB, InfiniteGraph, Neo4J, and OrientDB
DATA 2018: Proceedings of the 7th International Conference on Data Science, Technology and Applications

Graph databases are a very powerful solution for storing and searching for data designed for data rich in relationships, such as Facebook and Twitter. With data multiplication and data type diversity there has been a need to create new storage and ...
Construction of Knowledge Graph of Spleen and Stomach Diseases in Traditional Chinese Medicine Based on Neo4j
ISAIMS '22: Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences

Traditional Chinese Medicine (TCM) has a lot of valuable experience in the treatment of spleen and stomach diseases. Over the years, a large number of clinical resources have been accumulated in electronic medical records (EMR), and researchers have ...

Comments

Information & Contributors

Information

Published In

CONF-CDS 2021: The 2nd International Conference on Computing and Data Science

January 2021

1142 pages

ISBN:9781450389570

DOI:10.1145/3448734

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 May 2021

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

CONF-CDS 2021

CONF-CDS 2021: The 2nd International Conference on Computing and Data Science

January 28 - 30, 2021

CA, Stanford, USA

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
166
Total Downloads

Downloads (Last 12 months)51
Downloads (Last 6 weeks)2

Reflects downloads up to 12 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Zinovieva ISytnyk NDenisova OArtemchuk V(2024)Support for the Development of Educational Programs with Graph Database TechnologyData-Centric Business and Applications10.1007/978-3-031-54012-7_14(315-338)Online publication date: 8-Apr-2024
https://doi.org/10.1007/978-3-031-54012-7_14
Li X(2023)Online Course Construction of Higher Mathematics Based on InternetInnovative Computing Vol 2 - Emerging Topics in Future Internet10.1007/978-981-99-2287-1_46(324-331)Online publication date: 1-May-2023
https://doi.org/10.1007/978-981-99-2287-1_46
Qiao LLi HWang WWang D(2022)A Knowledge Graph Construction Method for Food Nutrition2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)10.1109/WI-IAT55865.2022.00091(577-581)Online publication date: Nov-2022
https://doi.org/10.1109/WI-IAT55865.2022.00091
Putrama IMartinek P(2022)An Automated Graph Construction Approach from Relational Databases to Neo4j2022 IEEE 22nd International Symposium on Computational Intelligence and Informatics and 8th IEEE International Conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics (CINTI-MACRo)10.1109/CINTI-MACRo57952.2022.10029438(000131-000136)Online publication date: 21-Nov-2022
https://doi.org/10.1109/CINTI-MACRo57952.2022.10029438

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Abstract

References

Cited By

Index Terms

Recommendations

Scholar-Course Knowledge Graph Construction Based on Graph Database Storage

Graph Databases Comparison: AllegroGraph, ArangoDB, InfiniteGraph, Neo4J, and OrientDB

Construction of Knowledge Graph of Spleen and Stomach Diseases in Traditional Chinese Medicine Based on Neo4j

Comments

Information

Published In

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Get Access

Login options

Full Access

View options

PDF

eReader

HTML Format

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations