Study on the Application of Big Data on the Development of Cultural and Creative Industries
- DOI
- 10.2991/978-94-6463-064-0_67How to use a DOI?
- Keywords
- big data; traditional culture; cultural and creative industry; industrial development
- Abstract
In recent years, the vigorous development of the cultural and creative industries reflects the importance that the country attaches to the important role of cultural and creative industries in economic transformation. With the rapid development of information technology, cloud computing. Internet of Things and other technologies dominated by big data have been put into the cultural and creative industry, which has become an opportunity for the rapid development of the cultural and creative industry. Based on the current development status of big data in the cultural and creative industry, this paper focuses on analyzing the characteristics of big data in the cultural and creative industry and the opportunities that big data brings to the cultural and creative industry, and discusses the development direction, strategic layout, industrial management, cultural marketing and other information development paths of the innovation industry under the background of big data.
- 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 - Ye Bei PY - 2022 DA - 2022/12/27 TI - Study on the Application of Big Data on the Development of Cultural and Creative Industries BT - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022) PB - Atlantis Press SP - 656 EP - 664 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-064-0_67 DO - 10.2991/978-94-6463-064-0_67 ID - Bei2022 ER -