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《Science of Surveying and Mapping》 2014-08
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Construction of spatio-temporal data warehouse for data management and multi-dimensional decision-making in Smart City

YANG Li-na;SHAO Jing;PENG Ling;CHI Tian-he;YAO Xiao-jing;Institute of Remote Sensing and Digital Earth,CAS;University of Chinese Academy of Sciences;  
It possesses important significance to take city data as a set of interconnection organic system and establish the integrated management model of multi-source data for data mining and multi-dimensional decision-making in Smart City.At present,city data is diverse,hard to match and inconsistent,which can not meet the need of high-level analysis for different application theme.In this paper,the methods and techniques of comprehensive summary,integrated management and assistant decision-making were discussed.Based on the systematic analysis of city data,the common features from four dimensions of time,space,user objects and subject type were studied firstly,multi-level data warehouse architecture and multi-dimensional data model were designed secondly,and then subject-oriented,diversified,distributed and multi-source data were extracted and integrated,which could provide the data support for the construction of Smart City and the multi-dimensional decision analysis.
【Fund】: 国家自然科学基金项目(41201397)
【CateGory Index】: P208;TP311.13
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