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LauNuts: A Knowledge Graph to Identify and Compare Geographic Regions in the European Union

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The Semantic Web (ESWC 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13870))

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Abstract

The Nomenclature of Territorial Units for Statistics (NUTS) is a classification that represents countries in the European Union (EU). It is published at intervals of several years and organized in a hierarchical system where geographical areas are subdivided according to their population sizes. In addition to NUTS, there is a further subdivided hierarchy level, named Local Administrative Units (LAU), whose data are updated annually by EU member states. While both datasets are published by Eurostat as Excel files, an additional RDF dataset is available for NUTS up to the 2016 scheme. With this work, we provide the Linked Data community with an up-to-date Knowledge Graph in which NUTS and LAU data are linked and which contains population numbers as well as area sizes. We also publish an Open Source generator software for future released versions that will naturally arise due to changes in population numbers. These contributions can be used to enrich other datasets and allow comparisons among regions in the European Union. All resources are available at https://w3id.org/launuts.

This work has been supported by the German Federal Ministry of Education and Research (BMBF) within the project EML4U under the grant no. 01IS19080B and by the German Federal Ministry of Transport and Digital Infrastructure (BMVI) within the project OPAL under the grant no. 19F2028A.

Resource type: Knowledge Graph

License: CC BY 4.0 International

DOIs: 10.5281/zenodo.7760179, 10.6084/m9.figshare.22272067.v2

Website: https://w3id.org/launuts.

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Notes

  1. 1.

    https://ec.europa.eu/eurostat/web/nuts/background.

  2. 2.

    https://www.geonames.org/.

  3. 3.

    https://www.openstreetmap.org/.

  4. 4.

    https://ec.europa.eu/eurostat/cache/digpub/regions/.

  5. 5.

    https://ec.europa.eu/statistical-atlas/viewer/.

  6. 6.

    https://ec.europa.eu/eurostat/web/nuts/statistics-illustrated.

  7. 7.

    https://github.com/eurostat/eurostat-map.js.

  8. 8.

    https://github.com/eurostat/NutsDorlingCartogram.

  9. 9.

    https://ec.europa.eu/eurostat/cache/RCI/.

  10. 10.

    https://ec.europa.eu/eurostat/web/nuts/history.

  11. 11.

    https://ec.europa.eu/eurostat/web/nuts/local-administrative-units.

  12. 12.

    https://ec.europa.eu/eurostat/web/nuts/linked-open-data.

  13. 13.

    https://hobbitdata.informatik.uni-leipzig.de/LauNuts/sources/.

  14. 14.

    https://en.wikipedia.org/w/index.php?title=First-level_NUTS_of_the_European_Union &oldid=1126125069.

  15. 15.

    https://github.com/dice-group/launuts.

  16. 16.

    https://hobbitdata.informatik.uni-leipzig.de/LauNuts/.

  17. 17.

    https://ec.europa.eu/eurostat/web/nuts/correspondence-tables/postcodes-and-nuts.

  18. 18.

    https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units.

  19. 19.

    https://www.wikidata.org/wiki/Property:P605.

  20. 20.

    https://www.wikidata.org/wiki/Q1142.

  21. 21.

    https://dbpedia.org/property/nutsCode.

  22. 22.

    http://dbpedia.org/resource/Cornwall.

  23. 23.

    http://mappings.dbpedia.org/index.php/OntologyProperty:NutsCode.

  24. 24.

    https://en.wikipedia.org/wiki/Category:Nomenclature_of_Territorial_Units_for_Statistics.

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Authors and Affiliations

  1. DICE Group, Department of Computer Science, Paderborn University, Paderborn, Germany

    Adrian Wilke & Axel-Cyrille Ngonga Ngomo

Authors
  1. Adrian Wilke
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  2. Axel-Cyrille Ngonga Ngomo
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Correspondence to Adrian Wilke .

Editor information

Editors and Affiliations

  1. Universidade de Lisboa, Lisbon, Portugal

    Catia Pesquita

  2. University of London, London, UK

    Ernesto Jimenez-Ruiz

  3. Rensselaer Polytechnic Institute, Troy, MI, USA

    Jamie McCusker

  4. Universidade de Lisboa, Lisbon, Portugal

    Daniel Faria

  5. Fondazione Bruno Kessler, Povo, Trento, Italy

    Mauro Dragoni

  6. KU Leuven, Sint-Katelijne-Waver, Belgium

    Anastasia Dimou

  7. EURECOM, Biot, France

    Raphael Troncy

  8. University of Mannheim, Mannheim, Germany

    Sven Hertling

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Wilke, A., Ngonga Ngomo, AC. (2023). LauNuts: A Knowledge Graph to Identify and Compare Geographic Regions in the European Union. In: Pesquita, C., et al. The Semantic Web. ESWC 2023. Lecture Notes in Computer Science, vol 13870. Springer, Cham. https://doi.org/10.1007/978-3-031-33455-9_24

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  • DOI: https://doi.org/10.1007/978-3-031-33455-9_24

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-33455-9

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