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Using Sentiment Analysis and Automated Reasoning to Boost Smart Lighting Systems

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Internet and Distributed Computing Systems (IDCS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11874))

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Abstract

Smart cities, arising all around the globe, encourage the birth of new and different urban infrastructures, with interesting challenges and opportunities. Within each smart city, a smart community emerges, which integrates technological solutions for the definition of innovative models for the smart management of urban areas. In this paper, we describe the research activities conducted within a smart city project, introducing a novel framework for managing smart lighting systems within a smart community. We start by describing the proposed framework, then we specialize it to the specific use case. One of the main novelties of the proposed approach is the use of automated reasoning and sentiment analysis to boost the smart lighting process.

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Acknowledgement

This work was partially supported by: (i) the Italian Ministry for Economic Development (MISE) under the project “Smarter Solutions in the Big Data World”, funded within the call “HORIZON2020” PON I&C 2014–2020.

Author information

Authors and Affiliations

  1. DEMACS, University of Calabria, Rende, Italy

    Francesco Cauteruccio, Luca Cinelli & Giorgio Terracina

  2. DIMES, University of Calabria, Rende, Italy

    Giancarlo Fortino & Claudio Savaglio

Authors
  1. Francesco Cauteruccio
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  2. Luca Cinelli
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  3. Giancarlo Fortino
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  4. Claudio Savaglio
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  5. Giorgio Terracina
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Corresponding author

Correspondence to Francesco Cauteruccio .

Editor information

Editors and Affiliations

  1. Department of Science and Technology, Parthenope University of Naples, Napoli, Italy

    Raffaele Montella

  2. Parthenope University of Naples, Napoli, Italy

    Angelo Ciaramella

  3. University of Calabria, Rende, Italy

    Giancarlo Fortino

  4. ICAR, Consiglio Nazionale delle Ricerche, Rende, Cosenza, Italy

    Antonio Guerrieri

  5. Edinburgh Napier University, Edinburgh, UK

    Antonio Liotta

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Cauteruccio, F., Cinelli, L., Fortino, G., Savaglio, C., Terracina, G. (2019). Using Sentiment Analysis and Automated Reasoning to Boost Smart Lighting Systems. In: Montella, R., Ciaramella, A., Fortino, G., Guerrieri, A., Liotta, A. (eds) Internet and Distributed Computing Systems . IDCS 2019. Lecture Notes in Computer Science(), vol 11874. Springer, Cham. https://doi.org/10.1007/978-3-030-34914-1_7

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  • DOI: https://doi.org/10.1007/978-3-030-34914-1_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34913-4

  • Online ISBN: 978-3-030-34914-1

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