Analysis of Research Hotspots and Frontier Development of Knowledge Graph Construction
- 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.
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 -