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Data Integration for Smart Cities: Opportunities and Challenges

  • Conference paper
Computational Science and Technology

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 603))

Abstract

Current modern cities are equipped with sensors generating huge amounts of data waiting to be tapped for “smart” decision making such as smart grid, smart transportation, smart buildings and smart healthcare. However, these data are not readily analyzable due to the heterogeneity of data types and formats from “vertical silos” smart city systems. In this paper, the existing related work in progress of smart city data sharing and integration are enumerated and the key technical challenges and limitations are identified and highlighted. We propose a bottom-up publish/subscribe data sharing and integration model to overcome the technical challenges and limitations in cross-domain integration of smart city data. A data representation scheme and Application Programming Interface (API) based prototype application are currently under development. The proposed model shows a promising prospect for facilitating smart city data sharing and extraction, transformation and loading when fully implemented.

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Author information

Authors and Affiliations

  1. Lee Kong Chian, Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Bandar Sungai Long, Malaysia

    Subashini Raghavan, Boung Yew Lau Simon, Ying Loong Lee & Wei Lun Tan

  2. School of Engineering and Technology, University College of Technology Sarawak, Sibu, Malaysia

    Keh Kim Kee

Authors
  1. Subashini Raghavan
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  2. Boung Yew Lau Simon
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  3. Ying Loong Lee
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  4. Wei Lun Tan
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  5. Keh Kim Kee
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Corresponding author

Correspondence to Boung Yew Lau Simon .

Editor information

Editors and Affiliations

  1. Knowledge Technology Research Unit, Faculty of Computing and Informatics, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia

    Rayner Alfred

  2. School of Information Science, Security and Networks Area, Japan Advanced Institute of Science and Technology, Ishikawa, Japan

    Yuto Lim

  3. Department of Computer Science, Universitas Mulawarman, Samarinda, Indonesia

    Haviluddin Haviluddin

  4. Center of Data and Information Management, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia

    Chin Kim On

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Raghavan, S., Simon, B.Y.L., Lee, Y.L., Tan, W.L., Kee, K.K. (2020). Data Integration for Smart Cities: Opportunities and Challenges. In: Alfred, R., Lim, Y., Haviluddin, H., On, C. (eds) Computational Science and Technology. Lecture Notes in Electrical Engineering, vol 603. Springer, Singapore. https://doi.org/10.1007/978-981-15-0058-9_38

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  • DOI: https://doi.org/10.1007/978-981-15-0058-9_38

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0057-2

  • Online ISBN: 978-981-15-0058-9

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