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The Method of Urban Intelligent Address Coding Based on Spatiotemporal Semantics

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Human Centered Computing (HCC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11956))

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Abstract

With the development of science and technology and the progress of society, urban construction in China is also developing rapidly. Intelligent address coding plays an important role in urban planning and design. Therefore, the study of smart urban address coding method can make a great contribution to the construction of a smart city. Based on the analysis of the correlation between urban intelligent address coding method and the development of smart city, this paper discusses a scientific and unified standard urban intelligent address coding method based on spatiotemporal semantics. And based on the theory of spatiotemporal semantic model and address model, an intelligent address model based on spatiotemporal semantics is designed according to the address coding standard published in recent years in China. To solve the problems of non-standard city place name and address coding, difficulty in managing address coding data, and imprecision of address coding, thus the unified standardization and refinement of the urban address code, the intelligent management of the urban address code data and the sharing of the urban address code data are realized.

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Acknowledgment

The project was funded by Guangxi Key Laboratory of Spatial Information and Geomatics (15-140-07-14,16-380-25-17) and the ‘Ba Gui Scholars’ program of the provincial government of Guangxi.

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Correspondence to Yanling Lu .

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Lu, Y., Huang, L., Liu, C., Li, J., Jiang, J. (2019). The Method of Urban Intelligent Address Coding Based on Spatiotemporal Semantics. In: Milošević, D., Tang, Y., Zu, Q. (eds) Human Centered Computing. HCC 2019. Lecture Notes in Computer Science(), vol 11956. Springer, Cham. https://doi.org/10.1007/978-3-030-37429-7_27

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  • DOI: https://doi.org/10.1007/978-3-030-37429-7_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37428-0

  • Online ISBN: 978-3-030-37429-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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