Xu, Z., & Zou, D. (2022). Big Data Analysis Research on the Deep Integration of Intangible Cultural Heritage Inheritance and Art Design Education in Colleges and Universities. Mobile Information Systems, 2022. https://doi.org/10.1155/2022/1172405 (Original work published mar)
Zhimin Xu Daitie ZouArts designs Big data cell proliferation College students Colleges and universities Continuous development Curricula Data integration Deep integrations Design Education Education computing Folk dances Intangible cultural heritages Integration Power Students Traditional cultures
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Yuan, M. (2023). A Study on the Application of Big Data Technology in the Excavation of Intangible Cultural Resources (Vol. 150). En (Vol. 150). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-17548-0_5
M. YuanBig 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
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Yuan, M. (2023). A Study on the Application of Big Data Technology in the Excavation of Intangible Cultural Resources (Vol. 150). En (Vol. 150). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-17548-0_5
M. YuanBig 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
Ver
Yuan, M. (2023). A Study on the Application of Big Data Technology in the Excavation of Intangible Cultural Resources (Vol. 150). En (Vol. 150). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-17548-0_5
M. YuanBig 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
Ver
Yuan, M. (2023). A Study on the Application of Big Data Technology in the Excavation of Intangible Cultural Resources (Vol. 150). En (Vol. 150). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-17548-0_5
M. YuanBig 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
Ver
Yuan, M. (2023). A Study on the Application of Big Data Technology in the Excavation of Intangible Cultural Resources (Vol. 150). En (Vol. 150). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-17548-0_5
M. YuanBig 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
Ver
Qu, C., Zhao, T., & Ding, W. (2021). A Narrative Environment Model for the Sustainability of Intangible Cultural Heritage Under the 5G Era (Vol. 1283). En (Vol. 1283). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-62746-1_20
C. Qu T. Zhao W. Ding5G technology Advanced Analytics Big data Brand communication creative industries Data privacy Digital museum Environment modeling Harmonious development Heritage sites Holographic image Image enhancement Immersive Information communication Innovative technology Intangible Heritage Culture (IHC) Intangible cultural heritage Intangible cultural heritages Intellectual property Intellectual property rights Intelligent media technology Interactive narrative spaces Internet of things Laws and legislation Literature reviews machine learning Media technology Model-based OPC Narrative environment Pseudo-environment Soft power Sustainable development Two ways User experience
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Tang, Q., Xu, Y., & Yuan, Y. (2021). A Comparative Genre Analysis of Chinese Folk Song Huar Based on Digital Humanities. 1955. IOP Publishing Ltd. https://doi.org/10.1088/1742-6596/1955/1/012006
Q. Tang Y. Xu Y. YuanBig data cultural identity Digital humanities Digital technologies Hierarchical clustering Humanities computing Intangible cultural heritages National cultures Qualitative method Quantitative method Scientific basis
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