Volume XLII-4/W8
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W8, 11–14, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-W8-11-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W8, 11–14, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-W8-11-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  11 Jul 2018

11 Jul 2018

ADDING 3D GIS VISUALIZATION AND NAVIGATION TO THE SPARQL QUERY LOOP

W. Beek1,2,3, E. Folmer1,4, L. Rietveld1,3, T. Baving1, and V. van Altena1,2,5 W. Beek et al.
  • 1Kadaster, Apeldoorn, Netherlands
  • 2VU University Amsterdam, Amsterdam, Netherlands
  • 3Triply, Amsterdam, Netherlands
  • 4University of Twente, Enschede, Netherlands
  • 5University of Technology, Delft, Netherlands

Keywords: 3D visualization, geospatial data, Linked Data, SPARQL, REPL, data analytics

Abstract. 3D environments allow advanced spatial navigation and visualization, but have traditionally provided limited support for performing non-spatial data analysis operations like filtering, joining, and integrating data on-the-fly. Linked Open Data provides advanced support for performing filters and joins over datasets that can be dynamically combined through SPARQL federation. Unfortunately, Linked Data results often lack intuitive visualization capabilities, making it relatively difficult to interpret the data for a data analyst. In this paper we present our integration of 3D visualization into the read-evaluate-print-loop of SPARQL query execution. We show how the inclusion of 3D visualization has concrete benefits for the SPARQL query writing process, and how our integrated solution is used to answer specific use cases that could not be answered before.