Research Progress of Digital Twin: An Empirical Study of China’s Library
- DOI
- 10.2991/978-94-6463-552-2_15How to use a DOI?
- Keywords
- Digital Twin; Chinese library; virtual-real fusion; visualization analysis
- Abstract
Digital Twin has been providing strong technical support for the high-quality development of smart libraries and green libraries. This paper is aiming at studying the research status of the application of Digital Twin in Chinese library and providing some knowledge base and reference for the high-quality development of Chinese library in the future. This paper utilizes visualization technology to construct, analyze and study the visualization map of the existing academic achievements related to the application of Digital Twin in Chinese library from three aspects: development process, subject of study, research hotpots and main subject. It points out that we should further promote the in-depth application of Digital Twin in Chinese library from the aspects of enhancing the cooperation of research subjects and strengthening the research practice of information ethics.
- Copyright
- © 2024 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 - Guangyuan Yang AU - Lei Chen AU - Quanying Xie AU - Aniu Yihe PY - 2024 DA - 2024/10/27 TI - Research Progress of Digital Twin: An Empirical Study of China’s Library BT - Proceedings of the 4th International Conference on Management Science and Software Engineering (ICMSSE 2024) PB - Atlantis Press SP - 152 EP - 160 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-552-2_15 DO - 10.2991/978-94-6463-552-2_15 ID - Yang2024 ER -