Skip to main content

Enriching Wikidata with Cultural Heritage Data from the COURAGE Project

  • Conference paper
  • First Online:
Metadata and Semantic Research (MTSR 2019)

Abstract

Creating links manually between large datasets becomes an extremely tedious task. Although the linked data production is growing massively, the interconnecting needs improvement. This paper presents our work regarding detecting and extending links between Wikidata and COURAGE entities with respect to cultural heritage data. The COURAGE project explored the methods for cultural opposition in the socialist era (cc. 1950–1990), highlighting the variety of alternative cultural scenes that flourished in Eastern Europe before 1989. We describe our methods and results in discovering common entities in the two datasets, and our solution for automating this task. Furthermore, it is shown how it was possible to enrich the data in Wikidata and to establish new, bi-directional connections between COURAGE and Wikidata. Hence, the audience of both databases will have a more complete view of the matched entities.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. COURAGE project. http://cultural-opposition.eu/

  2. Apor, B., Apor, P., Horváth, S. (eds.): The Handbook of COURAGE, Budapest (2018). https://doi.org/10.24389/handbook

  3. Micsik, A.: Courage registry - open dataset 1.1, July 2019. https://doi.org/10.5281/zenodo.3333540

  4. Erxleben, F., Günther, M., Krötzsch, M., Mendez, J., Vrandečić, D.: Introducing Wikidata to the Linked Data Web. In: Mika, P., et al. (eds.) ISWC 2014. LNCS, vol. 8796, pp. 50–65. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-11964-9_4

    Chapter  Google Scholar 

  5. Vrandečić, D., Krötzsch, M.: Wikidata: a free collaborative knowledgebase. Commun. ACM 57(10) (2014). https://doi.org/10.1145/2629489

  6. Wikidata Statistics. https://www.wikidata.org/wiki/Wikidata:Statistics

  7. WikiProject Cultural heritage. https://www.wikidata.org/wiki/Wikidata:WikiProject_Cultural_heritage

  8. Why data partners should link their vocabulary to Wikidata: a new case study. Europeana pro page. https://pro.europeana.eu/post/why-data-partners-should-link-their-vocabulary-to-wikidata-a-new-case-study

  9. Malyshev, S., Krötzsch, M., González, L., Gonsior, J., Bielefeldt, A.: Getting the most out of Wikidata: semantic technology usage in Wikipedia’s knowledge graph. In: Vrandečić, D., et al. (eds.) ISWC 2018. LNCS, vol. 11137, pp. 376–394. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-00668-6_23

    Chapter  Google Scholar 

  10. Allison-Cassin, S., Scott, D.: Wikidata: a platform for your library’s linked open data. Code4Lib 40 (2018)

    Google Scholar 

  11. Nentwig, M., Hartung, M., Cyrille, A., Ngomo, N., Rahm E.: A survey of current link discovery frameworks. Semant. Web J. 2(224) (2017). https://doi.org/10.3233/sw-150210

  12. Isele, R., Jentzsch, A., Bizer, C.: Efficient multidimensional blocking for link discovery without losing recall. In: 14th International Workshop on the Web and Databases, WebDB, Athens (2011)

    Google Scholar 

  13. Ngomo, A.C.N., Auer, S.: LIMES - a time-efficient approach for large-scale link discovery on the web of data. In: IJCAI, pp. 2312–2317 (2011). https://doi.org/10.5591/978-1-57735-516-8/ijcai11-385

  14. Nikolov, A., Uren, V., Motta, E.: KnoFuss: a comprehensive architecture for knowledge fusion. In: Proceedings of the 4th International Conference on Knowledge Capture, pp. 185–186. ACM (2007)

    Google Scholar 

  15. Mix‘n’match Manual Wikimedia. https://meta.wikimedia.org/wiki/Mix%27n%27match/Manual

  16. Hickey, T.B., Toves, J.A.: Managing ambiguity in VIAF. D-Lib Mag. 20(7/8). https://doi.org/10.1045/july2014-hickey

  17. Larson, R.R., Janakiraman, K.: Connecting archival collections: the social networks and archival context project. In: Gradmann, S., Borri, F., Meghini, C., Schuldt, H. (eds.) TPDL 2011. LNCS, vol. 6966, pp. 3–14. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-24469-8_3

    Chapter  Google Scholar 

  18. QuickStatements help. https://www.wikidata.org/wiki/Help:QuickStatements

Download references

Acknowledgement

The project has been supported by the European Union, co-financed by the European Social Fund (EFOP-3.6.3-VEKOP-16-2017-00002).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ghazal Faraj .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Faraj, G., Micsik, A. (2019). Enriching Wikidata with Cultural Heritage Data from the COURAGE Project. In: Garoufallou, E., Fallucchi, F., William De Luca, E. (eds) Metadata and Semantic Research. MTSR 2019. Communications in Computer and Information Science, vol 1057. Springer, Cham. https://doi.org/10.1007/978-3-030-36599-8_37

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-36599-8_37

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-36598-1

  • Online ISBN: 978-3-030-36599-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics