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Knowledge and Information Systems
Published in: Knowledge and Information Systems 3/2017

12-04-2017 | Regular Paper

CITIESData: a smart city data management framework

Authors: Xiufeng Liu, Alfred Heller, Per Sieverts Nielsen

Published in: Knowledge and Information Systems | Issue 3/2017

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Abstract

Smart city data come from heterogeneous sources including various types of the Internet of Things such as traffic, weather, pollution, noise, and portable devices. They are characterized with diverse quality issues and with different types of sensitive information. This makes data processing and publishing challenging. In this paper, we propose a framework to streamline smart city data management, including data collection, cleansing, anonymization, and publishing. The paper classifies smart city data in sensitive, quasi-sensitive, and open/public levels and then suggests different strategies to process and publish the data within these categories. The paper evaluates the framework using a real-world smart city data set, and the results verify its effectiveness and efficiency. The framework can be a generic solution to manage smart city data.
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Appendix
Available only for authorised users
Footnotes
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Metadata
Title
CITIESData: a smart city data management framework
Authors
Xiufeng Liu
Alfred Heller
Per Sieverts Nielsen
Publication date
12-04-2017
Publisher
Springer London
Published in
Knowledge and Information Systems / Issue 3/2017
Print ISSN: 0219-1377
Electronic ISSN: 0219-3116
DOI
https://doi.org/10.1007/s10115-017-1051-3

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