Volume XLII-4/W2
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W2, 35-38, 2017
https://doi.org/10.5194/isprs-archives-XLII-4-W2-35-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W2, 35-38, 2017
https://doi.org/10.5194/isprs-archives-XLII-4-W2-35-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  05 Jul 2017

05 Jul 2017

AN INTEGRATED APPROACH FOR LINKED DATA BROWSING

W. Beek1,3,4 and E. Folmer1,2 W. Beek and E. Folmer
  • 1Kadaster, Apeldoorn, the Netherlands
  • 2University of Twente, Twente, the Netherlands
  • 3Triply, Amsterdam, the Netherlands
  • 4VU University Amsterdam, Amsterdam, the Netherlands

Keywords: Data Browsing, Faceted Browsing, Geo-spatial Data, Graph Navigation, Linked Open Data

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. Currently, the Kadaster is publishing its geo-spatial data assets as Linked Open Data. The Kadaster manages hundreds of datasets that describe hundreds of millions of geospatial objects, including all Dutch buildings, roads, and forests.

The Kadaster exposes this large collection of data to thousands of daily users that operate from within different contexts and that need to be supported in different use cases. Therefore, Kadaster must offer diverse, yet complementary, approaches for browsing and exploring the data it publishes. Specifically, it supports the following paradigms for browsing and exploring its data assets: hierarchical browsing, graph navigation, faceted browsing, and tabular browsing. These paradigms are useful for different tasks, cover different use cases, and are implemented by reusing and/or developing Open Source libraries and applications.