Big Data Integration in Sculpture: A Systematic Review and Case Study

Weizhi Yang; Chowwalit Chookhampaeng; Jiraporn Chano; Hongfei Zhang

doi:10.2991/978-94-6463-562-1_39

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Big Data Integration in Sculpture: A Systematic Review and Case Study

Authors

Weizhi Yang¹, Chowwalit Chookhampaeng², Jiraporn Chano², Hongfei Zhang³^{, *}

¹School of Physics and Electronic Engineering, Jiaying University, Meizhou, China

²Faculty of Education , Mahasarakham University , Maha Sarakham, Thailand

³Lin Fengmian Academy of Fine Arts, Jiaying University, Meizhou, China

^*Corresponding author. Email: 149609043@qq.com

Corresponding Author

Hongfei Zhang

Available Online 13 November 2024.

DOI: 10.2991/978-94-6463-562-1_39 How to use a DOI?
Keywords: Big Data; Sculpture; Digital Preservation; 3D Modeling; Art and Technology; Cultural Heritage
Abstract: This study investigates the transformative impact of big data on sculpture, focusing on its application in creation, material selection, preservation, and audience interaction. Through a systematic review of existing literature and an in-depth case study of the “Centennial Xing tan” sculpture, the research highlights how big data is revolutionizing traditional sculptural practices. The case study demonstrates how big data enhances design precision, optimizes material selection, and ensures long-term preservation, all while maintaining artistic integrity. The study addresses existing gaps in academic discourse, offering new insights into the integration of advanced technologies with traditional art forms. Despite its contributions, the study acknowledges limitations, such as the narrow scope of case studies and the underrepresentation of challenges associated with big data in art. Future research should expand the diversity of case studies, explore ethical implications, and investigate the long-term effects of these technologies. Ultimately, this research suggests that the convergence of big data and sculpture will drive innovation, enhance creativity, and foster cross-disciplinary collaboration, advancing both the art form and its cultural significance.
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.

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Volume Title: Proceedings of the 2024 5th International Conference on Big Data and Social Sciences (ICBDSS 2024)
Series: Advances in Computer Science Research
Publication Date: 13 November 2024
ISBN: 978-94-6463-562-1
ISSN: 2352-538X
DOI: 10.2991/978-94-6463-562-1_39 How to use a DOI?
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

ris enw bib

TY  - CONF
AU  - Weizhi Yang
AU  - Chowwalit Chookhampaeng
AU  - Jiraporn Chano
AU  - Hongfei Zhang
PY  - 2024
DA  - 2024/11/13
TI  - Big Data Integration in Sculpture: A Systematic Review and Case Study
BT  - Proceedings of the 2024 5th International Conference on Big Data and Social Sciences (ICBDSS 2024)
PB  - Atlantis Press
SP  - 434
EP  - 445
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-562-1_39
DO  - 10.2991/978-94-6463-562-1_39
ID  - Yang2024
ER  -

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