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dc.contributor.authorKoh, Jason
dc.contributor.authorSandha, Sandeep
dc.contributor.authorBalaji, Bharathan
dc.contributor.authorCrawl, Daniel
dc.contributor.authorAltintas, Ilkay
dc.contributor.authorGupta, Rajesh
dc.contributor.authorSrivastava, Mani
dc.date.accessioned2021-03-28T13:21:20Z
dc.date.available2021-03-28T13:21:20Z
dc.date.issued2017-11-06
dc.identifier.citationKoh, J., Sandha, S., Balaji, B., Crawl, D., Altintas, I., Gupta, R., & Srivastava, M. (2017). Data Hub Architecture for Smart Cities. Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems. doi:10.1145/3131672.3137001
dc.identifier.isbn9781450354592
dc.identifier.doi10.1145/3131672.3137001
dc.identifier.urihttp://hdl.handle.net/10754/668325
dc.description.abstractToday 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.
dc.description.sponsorshipThis 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.
dc.publisherAssociation for Computing Machinery (ACM)
dc.relation.urlhttps://dl.acm.org/doi/10.1145/3131672.3137001
dc.rightsArchived with thanks to ACM
dc.titleData Hub Architecture for Smart Cities
dc.typeConference Paper
dc.conference.date2017-11-06 to 2017-11-08
dc.conference.name15th ACM Conference on Embedded Networked Sensor Systems, SenSys 2017
dc.conference.locationDelft, NLD
dc.eprint.versionPre-print
dc.contributor.institutionUniversity of California San Diego
dc.contributor.institutionUniversity of California Los Angeles
dc.contributor.institutionSan Diego Supercomputer Center
dc.identifier.volume2017-January
kaust.grant.numberKAUST Sensor Initiative
dc.identifier.eid2-s2.0-85052015931
kaust.acknowledged.supportUnitSensor Initiative


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