Bulletin of Surveying and Mapping ›› 2020, Vol. 0 ›› Issue (7): 34-37,44.doi: 10.13474/j.cnki.11-2246.2020.0210

Previous Articles     Next Articles

Construction of multi-level address semantic model and its application in epidemic prevention and control

YIN Xiangjun1, CHEN Zhen2, ZHANG Junlei2, CUI Lixin3, ZHAO Wei1, HUANG Huayue1   

  1. 1. Nanjing Urban Planning&Reserch Center, Nanjing 210029, China;
    2. SF-Map Technology(shenzhen) Co., Ltd., Shenzhen 518000, China;
    3. Qapqal Housing and Urban-rual development bureau, Yili 835300, China
  • Received:2020-04-22 Online:2020-07-25 Published:2020-08-01

Abstract: As far as now, a large amount of the address data have been collected by the city governments. However, these data are managed and constructed by different departments in the city. Moreover, the construction of the address data are not from the source of geographical entity. Therefore, these issues result in the failure of intensive construction and unified sharing of these data. In this study, we try to set up a multi-level address semantic model and address repository based on application-oriented refinement management requirement, which links the repository to the geographic entities. The constructed address semantic model and repository generate a unique geographic base from the address to the building entity at the building or unit levels. It can also provide the comprehensive support on wisdom city construction, operation and management. It also has been widely applied in COVID-19 epidemic prevention and control.

Key words: address model, address base, geographical entity association, practical application, epidemic prevention and control

CLC Number: