Research on Knowledge Graph in Education Field from the Perspective of Knowledge Graph

Zhiyun Chen; Weizhong Tang; Lichao Ma; Dongming Qian

doi:10.1007/978-981-16-1160-5_27

Research on Knowledge Graph in Education Field from the Perspective of Knowledge Graph

Zhiyun Chen
, Weizhong Tang
, Lichao Ma
, Dongming Qian^*

^*Corresponding author for this work

East China Normal University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Rapid advent of the era of big data, deep integration of education and technology, and multidisciplinary nature of educational research are driving the application of knowledge graphs in educational research. We use CSSCI and CSCD journal articles as data sources and analyze the Knowledge Graph of education using the graph database Neo4j in this article. Result shows that the number of literatures in the research area show a clear upward trend and go from the stages of brewing. Highly cited literatures’ research topics, subject categories, and authors are widely distributed. From the perspective of core institutions and authors, multiple normal universities have strong competitiveness. Citespace, SPSS and Bicomb are the most commonly used data processing tools for scholars. In further study of the area of knowledge graph, we should fully combine with the cutting-edge computer technology, based on big data and artificial intelligence to improve the level and quality of education research.

Original language	English
Title of host publication	Intelligent Computing and Block Chain - 1st BenchCouncil International Federated Conferences, FICC 2020, Revised Selected Papers
Editors	Wanling Gao, Kai Hwang, Changyun Wang , Weiping Li, Zhigang Qiu, Lei Wang, Aoying Zhou, Weining Qian, Cheqing Jin, Zhifei Zhang
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	347-360
Number of pages	14
ISBN (Print)	9789811611599
DOIs	https://doi.org/10.1007/978-981-16-1160-5_27
State	Published - 2021
Event	1st BenchCouncil International Federated Intelligent Computing and Block Chain Conferences, FICC 2020 - Qingdao, China Duration: 30 Oct 2020 → 3 Nov 2020

Publication series

Name	Communications in Computer and Information Science
Volume	1385 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	1st BenchCouncil International Federated Intelligent Computing and Block Chain Conferences, FICC 2020
Country/Territory	China
City	Qingdao
Period	30/10/20 → 3/11/20

Keywords

Bibliometric
Educational research
Knowledge graph
Neo4j
Network analysis

Access to Document

10.1007/978-981-16-1160-5_27

Cite this

Chen, Z., Tang, W., Ma, L., & Qian, D. (2021). Research on Knowledge Graph in Education Field from the Perspective of Knowledge Graph. In W. Gao, K. Hwang, C. Wang , W. Li, Z. Qiu, L. Wang, A. Zhou, W. Qian, C. Jin, & Z. Zhang (Eds.), Intelligent Computing and Block Chain - 1st BenchCouncil International Federated Conferences, FICC 2020, Revised Selected Papers (pp. 347-360). (Communications in Computer and Information Science; Vol. 1385 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-16-1160-5_27

Chen, Zhiyun ; Tang, Weizhong ; Ma, Lichao et al. / Research on Knowledge Graph in Education Field from the Perspective of Knowledge Graph. Intelligent Computing and Block Chain - 1st BenchCouncil International Federated Conferences, FICC 2020, Revised Selected Papers. editor / Wanling Gao ; Kai Hwang ; Changyun Wang ; Weiping Li ; Zhigang Qiu ; Lei Wang ; Aoying Zhou ; Weining Qian ; Cheqing Jin ; Zhifei Zhang. Springer Science and Business Media Deutschland GmbH, 2021. pp. 347-360 (Communications in Computer and Information Science).

@inproceedings{79fb1ed3d91a43169efc971ff7c729c8,

title = "Research on Knowledge Graph in Education Field from the Perspective of Knowledge Graph",

abstract = "Rapid advent of the era of big data, deep integration of education and technology, and multidisciplinary nature of educational research are driving the application of knowledge graphs in educational research. We use CSSCI and CSCD journal articles as data sources and analyze the Knowledge Graph of education using the graph database Neo4j in this article. Result shows that the number of literatures in the research area show a clear upward trend and go from the stages of brewing. Highly cited literatures{\textquoteright} research topics, subject categories, and authors are widely distributed. From the perspective of core institutions and authors, multiple normal universities have strong competitiveness. Citespace, SPSS and Bicomb are the most commonly used data processing tools for scholars. In further study of the area of knowledge graph, we should fully combine with the cutting-edge computer technology, based on big data and artificial intelligence to improve the level and quality of education research.",

keywords = "Bibliometric, Educational research, Knowledge graph, Neo4j, Network analysis",

author = "Zhiyun Chen and Weizhong Tang and Lichao Ma and Dongming Qian",

note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Singapore Pte Ltd.; 1st BenchCouncil International Federated Intelligent Computing and Block Chain Conferences, FICC 2020 ; Conference date: 30-10-2020 Through 03-11-2020",

year = "2021",

doi = "10.1007/978-981-16-1160-5\_27",

language = "英语",

isbn = "9789811611599",

series = "Communications in Computer and Information Science",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "347--360",

editor = "Wanling Gao and Kai Hwang and Changyun Wang and Weiping Li and Zhigang Qiu and Lei Wang and Aoying Zhou and Weining Qian and Cheqing Jin and Zhifei Zhang",

booktitle = "Intelligent Computing and Block Chain - 1st BenchCouncil International Federated Conferences, FICC 2020, Revised Selected Papers",

address = "德国",

}

Chen, Z, Tang, W, Ma, L & Qian, D 2021, Research on Knowledge Graph in Education Field from the Perspective of Knowledge Graph. in W Gao, K Hwang, C Wang , W Li, Z Qiu, L Wang, A Zhou, W Qian, C Jin & Z Zhang (eds), Intelligent Computing and Block Chain - 1st BenchCouncil International Federated Conferences, FICC 2020, Revised Selected Papers. Communications in Computer and Information Science, vol. 1385 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 347-360, 1st BenchCouncil International Federated Intelligent Computing and Block Chain Conferences, FICC 2020, Qingdao, China, 30/10/20. https://doi.org/10.1007/978-981-16-1160-5_27

Research on Knowledge Graph in Education Field from the Perspective of Knowledge Graph. / Chen, Zhiyun; Tang, Weizhong; Ma, Lichao et al.
Intelligent Computing and Block Chain - 1st BenchCouncil International Federated Conferences, FICC 2020, Revised Selected Papers. ed. / Wanling Gao; Kai Hwang; Changyun Wang ; Weiping Li; Zhigang Qiu; Lei Wang; Aoying Zhou; Weining Qian; Cheqing Jin; Zhifei Zhang. Springer Science and Business Media Deutschland GmbH, 2021. p. 347-360 (Communications in Computer and Information Science; Vol. 1385 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Research on Knowledge Graph in Education Field from the Perspective of Knowledge Graph

AU - Chen, Zhiyun

AU - Tang, Weizhong

AU - Ma, Lichao

AU - Qian, Dongming

PY - 2021

Y1 - 2021

N2 - Rapid advent of the era of big data, deep integration of education and technology, and multidisciplinary nature of educational research are driving the application of knowledge graphs in educational research. We use CSSCI and CSCD journal articles as data sources and analyze the Knowledge Graph of education using the graph database Neo4j in this article. Result shows that the number of literatures in the research area show a clear upward trend and go from the stages of brewing. Highly cited literatures’ research topics, subject categories, and authors are widely distributed. From the perspective of core institutions and authors, multiple normal universities have strong competitiveness. Citespace, SPSS and Bicomb are the most commonly used data processing tools for scholars. In further study of the area of knowledge graph, we should fully combine with the cutting-edge computer technology, based on big data and artificial intelligence to improve the level and quality of education research.

AB - Rapid advent of the era of big data, deep integration of education and technology, and multidisciplinary nature of educational research are driving the application of knowledge graphs in educational research. We use CSSCI and CSCD journal articles as data sources and analyze the Knowledge Graph of education using the graph database Neo4j in this article. Result shows that the number of literatures in the research area show a clear upward trend and go from the stages of brewing. Highly cited literatures’ research topics, subject categories, and authors are widely distributed. From the perspective of core institutions and authors, multiple normal universities have strong competitiveness. Citespace, SPSS and Bicomb are the most commonly used data processing tools for scholars. In further study of the area of knowledge graph, we should fully combine with the cutting-edge computer technology, based on big data and artificial intelligence to improve the level and quality of education research.

KW - Bibliometric

KW - Educational research

KW - Knowledge graph

KW - Neo4j

KW - Network analysis

UR - https://www.scopus.com/pages/publications/85104419645

U2 - 10.1007/978-981-16-1160-5_27

DO - 10.1007/978-981-16-1160-5_27

M3 - 会议稿件

AN - SCOPUS:85104419645

SN - 9789811611599

T3 - Communications in Computer and Information Science

SP - 347

EP - 360

BT - Intelligent Computing and Block Chain - 1st BenchCouncil International Federated Conferences, FICC 2020, Revised Selected Papers

A2 - Gao, Wanling

A2 - Hwang, Kai

A2 - Wang , Changyun

A2 - Li, Weiping

A2 - Qiu, Zhigang

A2 - Wang, Lei

A2 - Zhou, Aoying

A2 - Qian, Weining

A2 - Jin, Cheqing

A2 - Zhang, Zhifei

PB - Springer Science and Business Media Deutschland GmbH

T2 - 1st BenchCouncil International Federated Intelligent Computing and Block Chain Conferences, FICC 2020

Y2 - 30 October 2020 through 3 November 2020

ER -

Chen Z, Tang W, Ma L, Qian D. Research on Knowledge Graph in Education Field from the Perspective of Knowledge Graph. In Gao W, Hwang K, Wang C, Li W, Qiu Z, Wang L, Zhou A, Qian W, Jin C, Zhang Z, editors, Intelligent Computing and Block Chain - 1st BenchCouncil International Federated Conferences, FICC 2020, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2021. p. 347-360. (Communications in Computer and Information Science). doi: 10.1007/978-981-16-1160-5_27

Research on Knowledge Graph in Education Field from the Perspective of Knowledge Graph

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