Abstract
The study mainly introduces the comprehensive query platform based on big data technology, including the architecture and components. The architecture is mentioned for displaying the elements and relationship of the platform, such as information resource layer, data query layer and service support layer. The platform consists of query engine and query application, which lists its details and functions. The comprehensive query platform provides unified query accessing interfaces for various queries of heterogeneous data by query engine. In addition, the interface design participates a significant role in the unified query accessing interface to provide a more professional service. Furthermore, the query platform replaces the traditional query method and optimize the process, which can increase the efficiency of management for smart city building.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Dameri, P.R.: Searching for smart city definition: a comprehensive proposal. Int. J. Comput. Technol. 11(5), 2544–2551 (2013)
Cheng, B., Longo, S., Cirillo, F., Bauer, M., Kovacs, E.: Building a big data platform for smart cities: experience and lessons from Santander. In: IEEE International Congress on Big Data (2015)
Dolenc, M., Katranuschkov, P., Gehre, A., Kurowski, K., Turk, Z.: The InteliGrid platform for virtual organizations interoperability. J. Inf. Technol. Constr. 12, 459–477 (2007)
Gu, Y., Jiang, H., Zhang, Y., Zhang, J., Gao, T., Muljadi, E.: Knowledge discovery for smart grid operation, control, and situation awareness – a big data visualization platform. In: North American Power Symposium (2016)
Geng, D., Zhang, C., Xia, C., Xia, X., Liu, Q., Fu, X.: Big data-based improved data acquisition and storage system for designing industrial data platform (2019)
Lachhab, F., Essaaidi, M., Bakhouya, M., Ouladsine, R.: Towards a context-aware platform for complex and stream event processing. In: International Conference on High Performance Computing and Simulation (2016)
Barakhtenko, E., Sokolov, D.: An architecture of the technology platform for computer modeling, design, and optimization of intelligent integrated energy systems. In: International Multi-Conference on Industrial Engineering and Modern Technologies (2019)
Li, J., He, S., Yin, W.: The Study of pallet pooling information platform based on cloud computing. In: Scientific Programming (2018)
Oulasvirta, A.: User interface design with combinatorial optimization. Computer 50(1), 40–47 (2017)
Albino, V., Berardi, U., Dangelico, M.R.: Smart cities: definitions, dimensions, performance, and initiatives. J. Urban Technol. 22(1), 3–21 (2015)
Acknowledgements
This study is supported by the National Key R&D Project of China (No. 2018YFC0809704).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Xu, Z. (2021). The Research on Comprehensive Query Platform for Smart Cities Building. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2020. Advances in Intelligent Systems and Computing, vol 1303. Springer, Singapore. https://doi.org/10.1007/978-981-33-4572-0_265
Download citation
DOI: https://doi.org/10.1007/978-981-33-4572-0_265
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-33-4573-7
Online ISBN: 978-981-33-4572-0
eBook Packages: Computer ScienceComputer Science (R0)