An Assessment of Adoption and Quality of Linked Data in European Open Government Data

  • Luis-Daniel IbáñezEmail author
  • Ian Millard
  • Hugh Glaser
  • Elena Simperl
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11779)


The European Commission has adopted Linked Data principles and practices with the purpose of increasing the accessibility, interoperability and value of the data that is made available openly by European public sector organisations. This includes investment in metadata development for describing open datasets, catalogs of resources with persistent URIs, and the European Data Portal (EDP), which provides a single point of access, search and exploration of European open data. As the Public Sector Initiative (PSI) Directive is being revised, a critical question for the Commission is the extent to which open government data publishers have adopted Linked Data, and how they are applying the underlying technologies. In this paper, we undertake a quantitative analysis to support this. We explore if and how open data portals indexed by the EDP are using Linked Data and assess the quality of the datasets according to multiple dimensions.


Linked Data Open government data Data quality 


  1. 1.
    Alobaid, A., Corcho, O.: Fuzzy semantic labeling of semi-structured numerical datasets. In: Faron Zucker, C., Ghidini, C., Napoli, A., Toussaint, Y. (eds.) EKAW 2018. LNCS (LNAI), vol. 11313, pp. 19–33. Springer, Cham (2018). Scholar
  2. 2.
    Attard, J., Orlandi, F., Scerri, S., Auer, S.: A systematic review of open government data initiatives. Gov. Inf. Quart. 32(4), 399–418 (2015). Scholar
  3. 3.
    Bischof, S., Martin, C., Polleres, A., Schneider, P.: Collecting, integrating, enriching and republishing open city data as linked data. In: Arenas, M., et al. (eds.) ISWC 2015. LNCS, vol. 9367, pp. 57–75. Springer, Cham (2015). Scholar
  4. 4.
    Debattista, J., Lange, C., Auer, S., Cortis, D.: Evaluating the quality of the LOD cloud: an empirical investigation. Semant. Web 9(6), 859–901 (2018). Scholar
  5. 5.
    Heath, T., Bizer, C.: Linked data: evolving the web into a global data space. Synth. Lect. Semant. Web: Theory Technol. 1(1), 1–136 (2011). Scholar
  6. 6.
    Hendler, J., Holm, J., Musialek, C., Thomas, G.: US government linked open data: IEEE Intell. Syst. 27(3) (2012). Scholar
  7. 7.
    Hogan, A., Umbrich, J., Harth, A., Cyganiak, R., Polleres, A., Decker, S.: An empirical survey of Linked Data conformance. J. Web Semant. 14, 14–44 (2012). Scholar
  8. 8.
    Kacprzak, E., et al.: Making sense of numerical data - semantic labelling of web tables. In: Faron Zucker, C., Ghidini, C., Napoli, A., Toussaint, Y. (eds.) EKAW 2018. LNCS (LNAI), vol. 11313, pp. 163–178. Springer, Cham (2018). Scholar
  9. 9.
    Koesten, L.M., Kacprzak, E., Tennison, J.F.A., Simperl, E.: The trials and tribulations of working with structured data: - a study on information seeking behaviour. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, CHI 2017, pp. 1277–1289. ACM, New York (2017).
  10. 10.
    Lopez, V., Kotoulas, S., Sbodio, M.L., Stephenson, M., Gkoulalas-Divanis, A., Aonghusa, P.M.: QuerioCity: a linked data platform for urban information management. In: The Semantic Web - ISWC 2012, pp. 148–163 (2012). Scholar
  11. 11.
    Maali, F., Cyganiak, R., Peristeras, V.: A publishing pipeline for linked government data. In: Simperl, E., Cimiano, P., Polleres, A., Corcho, O., Presutti, V. (eds.) ESWC 2012. LNCS, vol. 7295, pp. 778–792. Springer, Heidelberg (2012). Scholar
  12. 12.
    Neumaier, S., Thurnay, L., Lampoltshammer, T.J., Knap, T.: Search, filter, fork, and link open data: the ADEQUATe platform: data- and community-driven quality improvements. In: Companion Proceedings of the The Web Conference 2018, WWW 2018, pp. 1523–1526 (2018).
  13. 13.
    Neumaier, S., Umbrich, J., Polleres, A.: Automated quality assessment of metadata across open data portals. J. Data Inf. Qual. 8(1), 2:1–2:29 (2016). Scholar
  14. 14.
    Schmachtenberg, M., Bizer, C., Paulheim, H.: Adoption of the linked data best practices in different topical domains. In: The Semantic Web - ISWC 2014, pp. 245–260 (2014). Scholar
  15. 15.
    Shadbolt, N., et al.: Linked open government data: lessons from IEEE Intell. Syst. 27, 16–24 (2012). Scholar
  16. 16.
    Villazón-Terrazas, B., Vilches-Blázquez, L.M., Corcho, O., Gómez-Pérez, A.: Methodological guidelines for publishing government linked data. In: Wood, D. (ed.) Linking Government Data, pp. 27–49. Springer, New York (2011). Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.University of SouthamptonSouthamptonUK
  2. 2.Seme4 Ltd.SouthamptonUK

Personalised recommendations