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Practical Use Cases for Linked Open Data in eGovernment Demonstrated on the Czech Republic

Part of the Lecture Notes in Computer Science book series (LNISA,volume 10441)

Abstract

The motivation for publishing data as Open Data and its benefits are already clear to many public authorities. However, most of open data is published as 3* data classified using the 5-star deployment scheme. When it comes to publishing data as 5* data, i.e. as Linked Open Data (LOD), for many authorities the benefits and motivation become abstract and unclear. In this paper, we introduce a playground which clarifies these benefits to public authorities in the Czech Republic using their own datasets. The playground consists of 73 real datasets transformed to LOD and two mature tools for LOD processing, visualization and analysis. We demonstrate the benefits on two concrete datasets provided by the Ministry of the Interior of the Czech Republic. We show how other public authorities may perform a similar demonstration on their own datasets. The paper is by no means limited to public authorities of the Czech Republic, as the same principles and processes are applicable everywhere else. Our example can be used to demonstrate the benefits of publishing 5* data on real datasets, and as a motivation and guidelines for building a similar playground for other countries.

Keywords

  • Linked open data
  • e-Government
  • Demonstration of benefits
  • Playground

This work was supported by the Czech Science Foundation (GAČR), grant number 16-09713S.

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Notes

  1. 1.

    http://5stardata.info.

  2. 2.

    https://www.europeandataportal.eu/.

  3. 3.

    https://joinup.ec.europa.eu/asset/dcat_application_profile/asset_release/dcat-ap-v11.

  4. 4.

    http://data.cso.ie/query.html.

  5. 5.

    http://statistics.data.gov.uk/sparql.

  6. 6.

    http://data.admin.ch/sparql/.

  7. 7.

    http://datiopen.istat.it/sparqlIstat.php.

  8. 8.

    http://semantic.eea.europa.eu/sparql.

  9. 9.

    http://dati.isprambiente.it/sparql.

  10. 10.

    https://linked.opendata.cz.

  11. 11.

    https://datahub.io/dataset?organization=opendata-cz.

  12. 12.

    dcat is a prefix for the DCAT vocabulary namespace http://www.w3.org/ns/dcat.

  13. 13.

    http://linked.opendata.cz/sparql.

  14. 14.

    http://ruian.linked.opendata.cz/sparql.

  15. 15.

    http://portal.gov.cz/app/zakony/.

  16. 16.

    https://gephi.org/.

  17. 17.

    http://www.graphviz.org/.

  18. 18.

    http://opendata.cz/agendový-prohlížeč

References

  1. Abele, A., McCrae, J.P., Buitelaar, P., Jentzsch, A., Cyganiak, R.: Linking Open Data cloud diagram (2017). http://lod-cloud.net/

  2. Berners-Lee, T.: Linked Data - Design Issues (2009). https://www.w3.org/DesignIssues/LinkedData.html

  3. Bizer, C., Heath, T., Berners-Lee, T.: Linked data - the story so far. Int. J. Semant. Web Inf. Syst. 5(3), 1–22 (2009). cited By 2013

    CrossRef  Google Scholar 

  4. Böhm, C., Lorey, J., Naumann, F.: Creating void descriptions for web-scale data. Web Semant.: Sci. Serv. Agents World Wide Web 9(3), 339–345 (2011)

    CrossRef  Google Scholar 

  5. Höffner, K., Martin, M., Lehmann, J.: LinkedSpending: openspending becomes linked open data. Semant. Web 7(1), 95–104 (2016)

    CrossRef  Google Scholar 

  6. Klímek, J., Škoda, P., Nečaský, M.: LinkedPipes ETL: evolved linked data preparation. In: Sack, H., Rizzo, G., Steinmetz, N., Mladenić, D., Auer, S., Lange, C. (eds.) ESWC 2016. LNCS, vol. 9989, pp. 95–100. Springer, Cham (2016). doi:10.1007/978-3-319-47602-5_20

    CrossRef  Google Scholar 

  7. Latif, A., Scherp, A., Tochtermann, K.: LOD for library science: benefits of applying linked open data in the digital library setting. KI-Künstliche Intell. 2(30), 149–157 (2016)

    CrossRef  Google Scholar 

  8. Loutas, N.: Study on LOD requirement-main findings and proofs of concept. In: ESS Workshop on Dissemination of Official Statistics as Open Data, 18–19 January 2017, Malta (2017)

    Google Scholar 

  9. Prongué, N., Ricci, F., Schneider, R., Schurte, R.: Art and design as linked data: the LODZ project (linked open data zurich). Libellarium: J. Res. Writ. Books Cult. Heritage Inst. 9(2) (2017)

    Google Scholar 

  10. Roller, R., Roes, J., Verbree, E.: Benefits of linked data for interoperability during crisis management. ISPRS Int. Arch. Photogram. Remote Sens. Spat. Inf. Sci. XL–3/W3, 211–218 (2015)

    CrossRef  Google Scholar 

  11. Vandenbussche, P.-Y., Atemezing, G.A., Poveda-Villalón, M., Vatant, B.: Linked open vocabularies (LOV): a gateway to reusable semantic vocabularies on the web. Semant. Web 8(3), 437–452 (2017)

    CrossRef  Google Scholar 

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Nečaský, M., Klímek, J., Škoda, P. (2017). Practical Use Cases for Linked Open Data in eGovernment Demonstrated on the Czech Republic. In: Kő, A., Francesconi, E. (eds) Electronic Government and the Information Systems Perspective. EGOVIS 2017. Lecture Notes in Computer Science(), vol 10441. Springer, Cham. https://doi.org/10.1007/978-3-319-64248-2_7

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  • DOI: https://doi.org/10.1007/978-3-319-64248-2_7

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