• ISSN: 2010-0248 (Print)
    • Abbreviated Title: Int. J. Innov.  Manag. Technol.
    • Frequency: Quarterly
    • DOI: 10.18178/IJIMT
    • Editor-in-Chief: Prof. Jin Wang
    • Managing Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Google Scholar, CNKI, Ulrich's Periodicals Directory,  Crossref, Electronic Journals Library.
    • E-mail: ijimt@ejournal.net
HOME > Archive > 2020 > Volume 11 Number 2 (Apr. 2020) >
IJIMT 2020 Vol.11(2): 57-62 ISSN: 2010-0248
doi: 10.18178/ijimt.2020.11.2.876

Smart City and Public Cultural Resources Demand Based on Big Data: A Case Study of Tianjin Library

Lei Li, Shaojun Ma, and Yiping Wang

Abstract— With the rapid development of data mining and cloud computing technologies, smart cities and public cultural resources are closely integrated. Public resource allocation based on big data is used as a technical means of urban governance and monitoring to continuously meet the diversity and complexity of residents' demand for public cultural resources. For this paper, Geographic Information System (Arc GIS10) and Data Discovery System are used to analyze the spatial distribution characteristics of Tianjin's public cultural resources and explore residents' demand for public cultural resources. Meanwhile, some suggestions for the allocation of public cultural resources will be proposed based on it.

Index Terms— Smart city, public cultural resources, spatial distribution, visitor experience, data mining, library.

Lei Li and Shaojun Ma are with the College of Management and Economics, Tianjin University, China (e-mail: lilei@tju.du.cn, mashaojun0212@tju.edu.cn). Yiping Wang is the Software & Communication School, Tianjin Sino-German University of Applied Sciences, China (e-mail: 985981088@qq.com).

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Cite: Lei Li, Shaojun Ma, and Yiping Wang, " Smart City and Public Cultural Resources Demand Based on Big Data: A Case Study of Tianjin Library," International Journal of Innovation, Management and Technology vol. 11, no. 2, pp. 57-62, 2020.

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0)
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