TY - GEN
T1 - Data Hub Architecture for Smart Cities
AU - Koh, Jason
AU - Sandha, Sandeep
AU - Balaji, Bharathan
AU - Crawl, Daniel
AU - Altintas, Ilkay
AU - Gupta, Rajesh
AU - Srivastava, Mani
N1 - KAUST Repository Item: Exported on 2021-03-29
Acknowledged KAUST grant number(s): KAUST Sensor Initiative
Acknowledgements: This research is funded in part by the National Science Foundation under awards # IIS-1636916, IIS-1636879, IIS-1636936, OAC-1640813, CI-1331615 and CSR-1526841, and by the King Abdullah University of Science and Technology under KAUST Sensor Initiative. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the funding agencies.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2017/11/6
Y1 - 2017/11/6
N2 - Today large amount of data is generated by cities. Many of the datasets are openly available and are contributed by different sectors, government bodies and institutions. The new data can affect our understanding of the issues faced by cities and can support evidence based policies. However usage of data is limited due to difficulty in assimilating data from different sources. Open datasets often lack uniform structure which limits its analysis using traditional database systems. In this paper we present Citadel, a data hub for cities. Citadel’s goal is to support end to end knowledge discovery cyber-infrastructure for effective analysis and policy support. Citadel is designed to ingest large amount of heterogeneous data and supports multiple use cases by encouraging data sharing in cities. Our poster presents the proposed features, architecture, implementation details and initial results.
AB - Today large amount of data is generated by cities. Many of the datasets are openly available and are contributed by different sectors, government bodies and institutions. The new data can affect our understanding of the issues faced by cities and can support evidence based policies. However usage of data is limited due to difficulty in assimilating data from different sources. Open datasets often lack uniform structure which limits its analysis using traditional database systems. In this paper we present Citadel, a data hub for cities. Citadel’s goal is to support end to end knowledge discovery cyber-infrastructure for effective analysis and policy support. Citadel is designed to ingest large amount of heterogeneous data and supports multiple use cases by encouraging data sharing in cities. Our poster presents the proposed features, architecture, implementation details and initial results.
UR - http://hdl.handle.net/10754/668325
UR - https://dl.acm.org/doi/10.1145/3131672.3137001
UR - http://www.scopus.com/inward/record.url?scp=85052015931&partnerID=8YFLogxK
U2 - 10.1145/3131672.3137001
DO - 10.1145/3131672.3137001
M3 - Conference contribution
SN - 9781450354592
BT - Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems
PB - ACM
ER -
