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

12.04.2017 | Regular Paper

CITIESData: a smart city data management framework

Erschienen in: Knowledge and Information Systems | Ausgabe 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.
Vorheriger Artikel Toward intrusion detection using belief decision trees for big data
Nächster Artikel Mining collective knowledge: inferring functional labels from online review for business

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Metadaten
Titel
CITIESData: a smart city data management framework
Publikationsdatum
12.04.2017
Erschienen in
Knowledge and Information Systems / Ausgabe 3/2017
Print ISSN: 0219-1377
Elektronische ISSN: 0219-3116
DOI
https://doi.org/10.1007/s10115-017-1051-3

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