An integrated approach for linked data browsing

W. Beek, E. Folmer

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)
55 Downloads (Pure)

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.

Original languageEnglish
Title of host publicationFOSS4G-Europe 2017 – Academic Track, 18–22 July 2017, Marne La Vallée, France
Pages35-38
Number of pages4
DOIs
Publication statusPublished - 5 Jul 2017
EventFOSS4G Europe 2017 - École Nationale des Sciences Géographiques (ENSG), Marne-la-Vallee, France
Duration: 18 Jul 201722 Jul 2017
Conference number: 3
https://europe.foss4g.org/2017/

Publication series

NameThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume XLII-4/W2
ISSN (Print)1682-1750

Conference

ConferenceFOSS4G Europe 2017
Abbreviated titleFOSS4G-E
CountryFrance
CityMarne-la-Vallee
Period18/07/1722/07/17
Internet address

Keywords

  • Data browsing
  • Faceted browsing
  • Geo-spatial data
  • Graph navigation
  • Linked open data

Fingerprint Dive into the research topics of 'An integrated approach for linked data browsing'. Together they form a unique fingerprint.

  • Cite this

    Beek, W., & Folmer, E. (2017). An integrated approach for linked data browsing. In FOSS4G-Europe 2017 – Academic Track, 18–22 July 2017, Marne La Vallée, France (pp. 35-38). (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Vol. XLII-4/W2). https://doi.org/10.5194/isprs-archives-XLII-4-W2-35-2017