Abstract
Recently, there stands an upsurge to construct smart city all over China. A higher demand is put forward to real-time and dynamic data. At present, city data is multi-source, inconsistent and hard to match in most region of China, which can’t meet the need of smart city construction. This paper focuses on the connotation and techniques of data resource management platform, which is oriented to data acquisition and integration. Based on systematic analysis of city data resource, we discussed the common features from four dimensions of time, space, user and theme, and proposed a multi-dimensional data model. Besides, we designed and implemented the data resource management platform. Key techniques, such as comprehensive data acquisition, data storage and dynamical update, fusion method for multi-source heterogeneous data, full-scale data encoding and spatial-temporal data warehouse, were described. The data resource management platform can provide a data support for comprehensively application and multi-dimensional decision analysis in smart city.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Li, D.R., Shao, Z.F., Yang, X.M.: Theory and Practice from Digital City to Smart City. Geospatial Information 9(6), 1–5 (2011)
Wu, H.Q.: Data Management in Smart City. Internet of Things Technologies (11), 11–14 (2012)
Chang, Y.F., Wu, H.G., Dong, Z.H., et al.: A National Monitoring and Warning System for Forest Pest Based on Service-Oriented Architecture. Scientia Silvae Sinicae 47(6), 93–100 (2011)
Mo, H.Y., Wang, Y.J., Luo, B., et al.: Design and Implementation of Land Planning System: A Case Study in Guangdong Province. Journal of Geo-information Science 12(5), 687–699 (2010)
Liu, Y., Peng, Z.F., Liu, J.T.: Study of Key Technologies of Smart Spatial Information Platform and Smart Shenzhen. Bulletin of Surveying and Mapping (6), 78–81 (2013)
National Administration of Surveying, Mapping and Geoinfomation of China.: GB/T 13923-2006: Classification and Code for Fundamental Geographic Information elements (2006)
William, H.I.: Building the Data Warehouse. Wiley Publishing, Indianapolis (2005)
Hu, K., Xia, S.W.: Large Data Warehouse-based Data Mining: a Survey. Journal of Software (1), 54–64 (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Shao, J., Yang, Ln., Peng, L., Yao, Xj., Zhao, XL. (2015). Research of Data Resource Management Platform in Smart City. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2014. Communications in Computer and Information Science, vol 482. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45737-5_2
Download citation
DOI: https://doi.org/10.1007/978-3-662-45737-5_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45736-8
Online ISBN: 978-3-662-45737-5
eBook Packages: Computer ScienceComputer Science (R0)