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Soft Spatial Querying on JSON Data Sets

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Advances in Databases and Information Systems (ADBIS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13389))

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Abstract

JSON (JavaScript Object Notation) has become popular for exchanging data sets over the Internet. Many data sets are “geo-tagged”, since they represent spatial entities. As an effect, spatial analysts have to perform spatial queries on JSON data sets. While working with large data sets, crisp (on/off) spatial relations could be marginally effective; instead, soft relations and “soft spatial querying” could be the right tools, because they reveal the extent of a given spatial relation. In this paper, we present the recent evolution of J-CO-QL \(^+\), the query language of the J-CO Framework (under development at University of Bergamo, Italy) towards soft spatial querying on geo-tagged JSON data sets.

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Notes

  1. 1.

    https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/nuts.

  2. 2.

    https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes?lang=en.

  3. 3.

    https://www.dati.lombardia.it/Territorio/Lago-10000-CT10/qm9t-uzst.

  4. 4.

    Github repository - https://github.com/JcoProjectTeam/JcoProjectPage.

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Authors and Affiliations

  1. University of Bergamo, Viale Marconi 5, 24044, Dalmine, (BG), Italy

    Paolo Fosci & Giuseppe Psaila

Authors
  1. Paolo Fosci
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  2. Giuseppe Psaila
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Corresponding authors

Correspondence to Paolo Fosci or Giuseppe Psaila .

Editor information

Editors and Affiliations

  1. Politecnico di Torino, Turin, Italy

    Silvia Chiusano

  2. Politecnico di Torino, Turin, Italy

    Tania Cerquitelli

  3. Poznań University of Technology, Poznań, Poland

    Robert Wrembel

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Fosci, P., Psaila, G. (2022). Soft Spatial Querying on JSON Data Sets. In: Chiusano, S., Cerquitelli, T., Wrembel, R. (eds) Advances in Databases and Information Systems. ADBIS 2022. Lecture Notes in Computer Science, vol 13389. Springer, Cham. https://doi.org/10.1007/978-3-031-15740-0_17

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  • DOI: https://doi.org/10.1007/978-3-031-15740-0_17

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-15740-0

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