Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W2, 39-42, 2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
05 Jul 2017
W. Beek1,3,4, E. Folmer1,2, L. Rietveld1,3, and J. Walker1,5 1Kadaster, Apeldoorn, the Netherlands
2University of Twente, Twente, the Netherlands
3Triply, Amsterdam, the Netherlands
4VU University Amsterdam, Amsterdam, the Netherlands
5Semaku, Eindhoven, the Netherlands
Keywords: GeoSPARQL, IDE, Linked Open Data, Open Government, Semantic Web Abstract. The Netherlands' Cadastre, Land Registry and Mapping Agency – in short Kadaster – collects and registers administrative and spatial data on property and the rights involved. This includes for ships, aircraft and telecommunications networks. Doing so, Kadaster protects legal certainty. The Kadaster publishes many large authoritative datasets including several key registers of the Dutch Government (Topography, Addresses and Buildings). Furthermore Kadaster is also developing and maintaining the PDOK shared service, in which about 100 spatial datasets are being published in several formats, including an incredible amount of detailed geospatial objects. Geospatial objects include all plots of land, all buildings, all roads and all lampposts. These objects are spatially and/or conceptually related, but are maintained by different data curators. As a result these datasets are syntactically and architecturally disjoint, and using them together currently requires non-trivial human labor.

In response to this, Kadaster is currently publishing its geo-spatial data assets as Linked Open Data. The standardized query language for Linked Open Geodata is GeoSPARQL. Unfortunately, current tooling does not support writing and evaluating GeoSPARQL queries. This paper presents GeoYASGUI, a GeoSPARQL editor and result-set viewer with IDE capabilities. GeoYASGUI is not a new software product, but an integration of and a collection of updates to existing Open Source libraries. With GeoYASGUI it becomes possible to query the rich Open Data assets of the Kadaster.

Conference paper (PDF, 2166 KB)

Citation: Beek, W., Folmer, E., Rietveld, L., and Walker, J.: GEOYASGUI: THE GEOSPARQL QUERY EDITOR AND RESULT SET VISUALIZER, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W2, 39-42,, 2017.

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