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GeoSPARQL+: Syntax, Semantics and System for Integrated Querying of Graph, Raster and Vector Data

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The Semantic Web – ISWC 2020 (ISWC 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12506))

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Abstract

We introduce an approach to semantically represent and query raster data in a Semantic Web graph. We extend the GeoSPARQL vocabulary and query language to support raster data as a new type of geospatial data. We define new filter functions and illustrate our approach using several use cases on real-world data sets. Finally, we describe a prototypical implementation and validate the feasibility of our approach.

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Notes

  1. 1.

    https://www.opengeospatial.org.

  2. 2.

    https://www.w3.org.

  3. 3.

    https://github.com/i3mainz/jena-geo.

  4. 4.

    http://sis.apache.org.

  5. 5.

    https://qgis.org/de/site/.

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Acknowledgements

Work by Steffen Staab was partially supported by DFG through the project LA 2672/1, Language-integrated Semantic Querying (LISeQ).

Author information

Authors and Affiliations

  1. Mainz University of Applied Sciences, DE, Mainz, Germany

    Timo Homburg

  2. Universität Koblenz, DE, Mainz, Germany

    Daniel Janke

  3. Universität Stuttgart, DE, Stuttgart, Germany

    Steffen Staab

  4. WAIS Research Group, University of Southampton, Southampton, UK

    Steffen Staab

Authors
  1. Timo Homburg
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  2. Steffen Staab
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  3. Daniel Janke
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Corresponding author

Correspondence to Timo Homburg .

Editor information

Editors and Affiliations

  1. University of Edinburgh, Edinburgh, UK

    Jeff Z. Pan

  2. University of Liverpool, Liverpool, UK

    Valentina Tamma

  3. University of Bari, Bari, Italy

    Claudia d’Amato

  4. University of California, Santa Barbara, Santa Barbara, CA, USA

    Krzysztof Janowicz

  5. California State University, Long Beach, Long Beach, CA, USA

    Bo Fu

  6. Vienna University of Economics and Business, Vienna, Austria

    Axel Polleres

  7. Rensselaer Polytechnic Institute, Troy, NY, USA

    Oshani Seneviratne

  8. Massachusetts Institute of Technology, Cambridge, MA, USA

    Lalana Kagal

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Homburg, T., Staab, S., Janke, D. (2020). GeoSPARQL+: Syntax, Semantics and System for Integrated Querying of Graph, Raster and Vector Data. In: Pan, J.Z., et al. The Semantic Web – ISWC 2020. ISWC 2020. Lecture Notes in Computer Science(), vol 12506. Springer, Cham. https://doi.org/10.1007/978-3-030-62419-4_15

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  • DOI: https://doi.org/10.1007/978-3-030-62419-4_15

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  • Print ISBN: 978-3-030-62418-7

  • Online ISBN: 978-3-030-62419-4

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