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Efficient cube construction for smart city data

Scriney, Michael orcid logoORCID: 0000-0001-6813-2630 and Roantree, Mark (2016) Efficient cube construction for smart city data. In: EDBT/ICDT 2016 Joint Conference, 15-18 Mar 2016, Bordeaux, France.

Abstract
To deliver powerful smart city environments, there is a requirement to analyse web produced data streams in close to real time so that city planners can employ up to date predictive models in both short and long term planning. Data cubes, fused from multiple sources provide a popular input to predictive models. A key component in this infrastructure is an efficient mechanism for transforming web data (XML or JSON) into multi-dimensional cubes. In our research, we have developed a framework for efficient transformation of XML data from multiple smart city services into DWARF cubes using a NoSQL storage engine. Our evaluation shows a high level of performance when compared to other approaches and thus, provides a platform for predictive models in a smart city environment.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Uncontrolled Keywords:Smart City; Data Streams; Cubes; XML Analytics
Subjects:Computer Science > Software engineering
DCU Faculties and Centres:Research Initiatives and Centres > INSIGHT Centre for Data Analytics
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in: Proceedings of the Workshops of the EDBT/ICDT 2016 Joint Conference, EDBT/ICDT Workshops 2016, Bordeaux, France, March 15, 2016. CEUR Workshop Proceedings 1558. CEUR-WS.org.
Publisher:CEUR-WS.org
Official URL:http://ceur-ws.org/Vol-1558/paper6.pdf
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland under grant number SFI/12/RC/2289
ID Code:21119
Deposited On:31 Mar 2016 10:16 by Michael John Scriney . Last Modified 23 Aug 2019 08:52
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