CITIESData: a smart city data management framework

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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.
Original languageEnglish
JournalKnowledge and Information Systems
Volume53
Issue number3
Pages (from-to)699-722
ISSN0219-1377
DOIs
Publication statusPublished - 2017

Keywords

  • Data framework
  • Smart cities
  • Dara privacy
  • Data quality
  • Data sensitivity

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