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Digital Turning of Logic and Practical Paradigm: The Establishment of Big Data Model in Anthropological Field

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Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1303))

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Abstract

The anthropological field driven by big data not only brings the sense of scientific research community, but also brings the transformation of logic theory and practice in innovative research theory and methods. As a paradigm shift, Digital Humanities has brought new theories and methods to traditional anthropology; On the one hand, it has realized the “horizon fusion” between horizontal disciplines at the theoretical level. This interactive integration not only brings about the omniscient and wide-angle vision of human, object and image in the space-time field of anthropological research objects, but also constructs a vertical and in-depth repetitive mining of research resources rich context by using research media technology; on the other hand, From open login of big data, related login of big data, to core login of big data in the field of humanities, this process is one of multidimensional coexistence; therefore, in the field of anthropology, this research theory and practical method can realize horizontal and vertical data collection, in-depth research and analysis, and three-dimensional interactive display.

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Acknowledgments

This work was financially supported by Wuhan University-Tibet University special project of “Tibet economic and social development and plateau scientific research co-construction and innovation fund”: Zhouyi and Fengshui: A Study on the philosophy, spatial model and historical experience of Tibetan ancient construction culture, project number-lzj2020014.

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Correspondence to Liang Yan .

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Sangjin, Z., Yan, L. (2021). Digital Turning of Logic and Practical Paradigm: The Establishment of Big Data Model in Anthropological Field. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2020. Advances in Intelligent Systems and Computing, vol 1303. Springer, Singapore. https://doi.org/10.1007/978-981-33-4572-0_77

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  • DOI: https://doi.org/10.1007/978-981-33-4572-0_77

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-4573-7

  • Online ISBN: 978-981-33-4572-0

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