Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023)

Analysis of Research Hotspots and Frontier Development of Knowledge Graph Construction

Authors
Zhaodi Wang1, 2, *, Lei Wang3, Gang Wang1
1Ankang Public Science Quality and Innovation Development Research Center of Shaanxi Province, Ankang University, Ankang, 725000, China
2Universidad Católica San Antonio de Murcia, 30107, Murcia, Spain
3The Key Laboratory of Industrial Automation of Shaanxi Province, Shaanxi University of Technology, Hanzhong, 723001, China
*Corresponding author. Email: 272695231@qq.com
Corresponding Author
Zhaodi Wang
Available Online 4 September 2023.
DOI
10.2991/978-94-6463-230-9_120How to use a DOI?
Keywords
Knowledge graph construction; Hotspots; Frontier development; Visualization analysis
Abstract

The knowledge graph construction is a crucial area of focus in the domain of artificial intelligence. To gain an insight into this field of study, we employed the use of Citespace.v.6.1. R2 and bibliometric analysis to create the knowledge graphs between 2012 and 2021, exploring various aspects such as annual publications, relevant institutions, research hotspots, and frontiers. We arrived at several key findings. Firstly, the number of research results is increasing yearly, but the research institutions remain distributed . Secondly, the technology employed in each link of the construction process is in constant development, but its accuracy, basic principles, and theories require further refinement. Thirdly, Frontier research such as deep learning and domain knowledge graph construction continues to improve and develop. Through this study, we hope to help knowledge graph builders to summarize, reflect, and improve the level and quality of research in this field.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

Volume Title
Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
4 September 2023
ISBN
10.2991/978-94-6463-230-9_120
ISSN
2667-128X
DOI
10.2991/978-94-6463-230-9_120How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Zhaodi Wang
AU  - Lei Wang
AU  - Gang Wang
PY  - 2023
DA  - 2023/09/04
TI  - Analysis of Research Hotspots and Frontier Development of Knowledge Graph Construction
BT  - Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023)
PB  - Atlantis Press
SP  - 996
EP  - 1009
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-230-9_120
DO  - 10.2991/978-94-6463-230-9_120
ID  - Wang2023
ER  -