@book{3132,
  keywords = {Big data, Core elements, Cultural inheritance, cultural resources, Data handling, Data technologies, Information analysis, Information management, Intangible cultural heritages, Intangible cultural resource, Intangible cultural resources, Mining application, National cultures, research method, Traditional crafts},
  author = {M. Yuan},
  title = {A Study on the Application of Big Data Technology in the Excavation of Intangible Cultural Resources},
  abstract = {Intangible cultural heritage is the core element of national and national culture. In some areas and people in China, the awareness of protection of intangible cultural heritage is relatively weak. Some traditional crafts and techniques are gradually lost due to lack of inheritance. Therefore, we urgently need to use modern technical means to bring valuable intangible cultural resources back to the public eye. The purpose of this paper is to accurately mine intangible cultural resources through big data technology. The methods used in this paper mainly include literature research method, interdisciplinary research method and statistical method. This paper builds a data analysis platform by inducing and analyzing the keywords of intangible cultural heritage, and then realizes the mining of intangible cultural resources by building a big data management platform and a big data analysis platform. Research shows that big data technology is more accurate than traditional data processing methods, and can effectively detect the public’s preference for intangible cultural heritage. Big data technology can realize a benign mechanism of mutual promotion in the fields of culture, art, communication and information.},
  year = {2023},
  series = {Lecture Notes on Data Engineering and Communications Technologies},
  volume = {150},
  publisher = {Springer Science and Business Media Deutschland GmbH},
  school = {Springer Science and Business Media Deutschland GmbH},
  isbn = {23674512 (ISSN)},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139500354&doi=10.1007%2f978-3-031-17548-0_5&partnerID=40&md5=3c776b24dd83587b3f6b01a6cd56e54c},
  doi = {10.1007/978-3-031-17548-0_5},
  note = {Journal Abbreviation: Lecture. Notes. Data Eng. Commun. Tech. Pages: 59 Publication Title: Lecture. Notes. Data Eng. Commun. Tech.},
  language = {English},
}