Research on the Extraction and Application of Vinegar Culture Elements in Zhenjiang Under the Background of Big Data
- DOI
- 10.2991/978-94-6463-064-0_78How to use a DOI?
- Keywords
- big data; web crawler; card sorting; Zhenjiang vinegar culture; H5 picture book
- Abstract
As one of the Four Famous Vinegars of China, Zhenjiang vinegar has a long cultural history and great cultural significance, which is a profound refinement in the lifestyle and cultural spirit of Zhenjiang people. In recent years, with the explosive growth of data resources, the channels of access to information are expanded, and the contents are even more complex. It takes a lot of time and energy to get the content of Zhenjiang vinegar culture quickly and accurately, extract high-quality information resources, and then use them for innovation and culture restoration. In this study, big data technology was used along with traditional research methods to obtain materials for Zhenjiang vinegar culture and identify important cultural elements. It explores the feasibility and cultural innovation approach of applying data processing technology to the design process of a mobile H5 picture book 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 - Gan Gao AU - Mingzhu Li PY - 2022 DA - 2022/12/27 TI - Research on the Extraction and Application of Vinegar Culture Elements in Zhenjiang Under the Background of Big Data BT - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022) PB - Atlantis Press SP - 758 EP - 767 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-064-0_78 DO - 10.2991/978-94-6463-064-0_78 ID - Gao2022 ER -