Visualization Analysis of Chinese Unearthed Tomb Murals Data Based on Big Data Technology
- DOI
- 10.2991/978-94-6463-034-3_131How to use a DOI?
- Keywords
- Chinese excavated tomb murals; Big data; Visualization; Cultural heritage information
- Abstract
The unearthed tomb murals in China depict the splendid culture of each historical period of our country with the cultural symbols with the characteristics of The Times. They are the precious cultural heritage for the inheritance and study of the development history of the Chinese national civilization. However, because the tomb murals are buried deep underground, they can only be found through archaeological excavation, and it is difficult to preserve the murals after they are excavated, which makes it impossible for the majority of scholars to directly observe and study the murals, leading to the difficulty in recognizing and understanding the precious cultural information in the tomb murals. Currently using big data technology, data visualization tomb murals can be converted to works of art, from the perspective of informatization, digital parsing the connotation of the information of the tomb murals and cultural heritage, to help the visitor information from multiple dimensions to fully understand and cognitive tomb murals in the gorgeous Chinese traditional culture and strong artistic appeal.
- 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 - Mingxing Zhang PY - 2022 DA - 2022/12/23 TI - Visualization Analysis of Chinese Unearthed Tomb Murals Data Based on Big Data Technology BT - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022) PB - Atlantis Press SP - 1266 EP - 1278 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-034-3_131 DO - 10.2991/978-94-6463-034-3_131 ID - Zhang2022 ER -