AN INTEGRATED APPROACH FOR LINKED DATA BROWSING
- 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.