Adding 3d GIS visualization and navigation to the sparqlquery loop

Journal Article (2018)
Author(s)

W. Beek (Triply, Kadaster, Vrije Universiteit Amsterdam)

E. Folmer (Kadaster, University of Twente)

L. Rietveld (Kadaster, Triply)

T. Baving (Kadaster)

V. Van Altena (Vrije Universiteit Amsterdam, Kadaster, TU Delft - Architecture and the Built Environment)

Research Group
Urban Data Science
DOI related publication
https://doi.org/10.5194/isprs-archives-XLII-4-W8-11-2018 Final published version
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Publication Year
2018
Language
English
Research Group
Urban Data Science
Issue number
4W8
Volume number
42
Pages (from-to)
11-14
Event
2018 Free and Open Source Software for Geospatial Conference, FOSS4G 2018 (2018-08-29 - 2018-08-31), Dar es Salaam, Tanzania, United Republic of
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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.