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Exploiting Smart City Ontology and Citizens’ Profiles for Urban Data Exploration

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On the Move to Meaningful Internet Systems. OTM 2018 Conferences (OTM 2018)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11229))

Abstract

Smart Cities are complex systems, collecting together huge amounts of heterogeneous data mainly concerning energy consumption, garbage collection, level of pollution, citizens’ safety and security. In the recent years, several approaches have been defined to enable Public Administration (PA), utility and energy providers, as well as citizens, to share and use information in order to take decisions about their daily life in Smart Cities. Research challenges concern the study of advanced techniques and tools to enable effective urban data exploration. In this paper, we describe a framework that combines ontology-based techniques and citizens’ profiles in order to enable personalised exploration of urban data. Ontologies may provide a powerful tool for semantics-enabled exploration of data, by exploiting the knowledge structure in terms of concepts organised through hierarchies and semantic relationships. Smart City indicators are used to aggregate data that can have different relevance for target users, the activities they are performing and their role (e.g., PA, utility and energy providers, citizens) within the Smart City. Ontologies combined with users’ profiles enable effective and personalised recommendation and exploration of urban data.

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Notes

  1. 1.

    http://www.bresciasmartliving.eu/.

  2. 2.

    The TBox of the ontology can be found at https://tinyurl.com/sco-onto (a free Web Protégé account is required).

  3. 3.

    http://schema.org/.

  4. 4.

    http://www.w3.org/2006/time.

  5. 5.

    http://purl.org/linked-data/cube.

  6. 6.

    https://wordnet.princeton.edu/.

  7. 7.

    http://tomee.apache.org/.

  8. 8.

    https://www.stardog.com/.

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Author information

Authors and Affiliations

  1. Department of Information Engineering, University of Brescia, Via Branze 38, 25123, Brescia, Italy

    Devis Bianchini, Valeria De Antonellis, Massimiliano Garda & Michele Melchiori

Authors
  1. Devis Bianchini
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  2. Valeria De Antonellis
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  3. Massimiliano Garda
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  4. Michele Melchiori
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Corresponding author

Correspondence to Devis Bianchini .

Editor information

Editors and Affiliations

  1. CNRS, University of Lorraine, Vandoeuvre-les-Nancy, France

    Hervé Panetto

  2. Trinity College Dublin, Dublin, Ireland

    Christophe Debruyne

  3. Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg

    Henderik A. Proper

  4. Università degli Studi di Milano, Crema, Italy

    Claudio Agostino Ardagna

  5. SINTEF and University of Oslo, Oslo, Norway

    Dumitru Roman

  6. TU Graz, Graz, Austria

    Robert Meersman

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Bianchini, D., De Antonellis, V., Garda, M., Melchiori, M. (2018). Exploiting Smart City Ontology and Citizens’ Profiles for Urban Data Exploration. In: Panetto, H., Debruyne, C., Proper, H., Ardagna, C., Roman, D., Meersman, R. (eds) On the Move to Meaningful Internet Systems. OTM 2018 Conferences. OTM 2018. Lecture Notes in Computer Science(), vol 11229. Springer, Cham. https://doi.org/10.1007/978-3-030-02610-3_21

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  • DOI: https://doi.org/10.1007/978-3-030-02610-3_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02609-7

  • Online ISBN: 978-3-030-02610-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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