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Research Conference on Metadata and Semantics Research

MTSR 2021: Metadata and Semantic Research pp 382–388Cite as

Potentials of Research Knowledge Graphs for Interlinking Participatory Archives: The Case of Distributed School Archives

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1537))

Abstract

Research knowledge graphs allow the enrichment of large amounts of data. Still, in some fields like the humanities sources are distributed in small archives not connected by the large research knowledge graphs or hubs like Wikidata. In comparison to these large research knowledge graphs, light-weight knowledge graphs allow the creation of small-scale hubs within the Linked Open Data (LOD) cloud as well as the re-usage of larger hubs like Wikidata in order to enrich one’s own data. This paper describes the potentials of research knowledge graphs for interlinking archives and data hubs offering an overarching systematic overview to topic related distributed data. The potentials of the graph technology are shown in action for a concrete case in the field of history of education, focusing on school archives. Also, the research knowledge graph enables archivists and researchers to annotate and enrich the graph in order to customize it to their needs and research interests. It also facilitates processing of the heterogeneously structured data from larger hubs in order to increase coverage of the graph.

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Notes

  1. 1.

    https://schularchive.bbf.dipf.de.

  2. 2.

    https://www.semantic-mediawiki.org.

  3. 3.

    Further detailed description of all metadata can be found at https://schularchive.bbf.dipf.de/index.php/Struktur_Schularchive_Wiki.

  4. 4.

    https://www.mediawiki.org/wiki/Extension:WikidataShow.

References

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  2. Brack, A., Hoppe, A., Stocker, M., Auer, S., Ewerth, R.: Analysing the requirements for an open research knowledge graph: use cases, quality requirements and construction strategies. arXiv preprint arXiv:2102.06021 (2021)

  3. Huvila, I.: Participatory archive: towards decentralised curation, radical user orientation, and broader contextualisation of records management. Arch. Sci. 8(1), 15–36 (2008). https://doi.org/10.1007/s10502-008-9071-0

  4. Lamont, L., et al.: The immigration dilemma; legal, ethical and practical issues in creating a living, growing archive. In: Doucet, A., Isaac, A., Golub, K., Aalberg, T., Jatowt, A. (eds.) TPDL 2019. LNCS, vol. 11799, pp. 177–184. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-30760-8_16

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  7. Schindler, C., Veja, C., Rittberger, M., Vrandec̃ic̃, D.: How to teach digital library data to swim into research. In: Proceedings of the 7th International Conference on Semantic Systems, pp. 142–149 (2011). https://doi.org/10.1145/2063518.2063537

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Acknowledgements

The project is funded by the Leibniz Competition 2016 entitled “Abiturprüfungs-praxis und Abituraufsatz 1882 bis 1972”. The authors would also like to thank DIPF for the funding.

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Authors and Affiliations

  1. DIPF | Leibniz Institute for Research and Information in Education, Frankfurt, Germany

    Julian Hocker, Christoph Schindler, Marc Rittberger & Annett Krefft

  2. Ruhr University Bochum, Bochum, Germany

    Marco Lorenz & Joachim Scholz

Authors
  1. Julian Hocker
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  2. Christoph Schindler
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  3. Marc Rittberger
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  4. Annett Krefft
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  5. Marco Lorenz
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  6. Joachim Scholz
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Corresponding author

Correspondence to Julian Hocker .

Editor information

Editors and Affiliations

  1. International Hellenic University, Thessaloniki, Greece

    Emmanouel Garoufallou

  2. Complutense University of Madrid, Madrid, Spain

    María-Antonia Ovalle-Perandones

  3. University College London, London, UK

    Andreas Vlachidis

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Hocker, J., Schindler, C., Rittberger, M., Krefft, A., Lorenz, M., Scholz, J. (2022). Potentials of Research Knowledge Graphs for Interlinking Participatory Archives: The Case of Distributed School Archives. In: Garoufallou, E., Ovalle-Perandones, MA., Vlachidis, A. (eds) Metadata and Semantic Research. MTSR 2021. Communications in Computer and Information Science, vol 1537. Springer, Cham. https://doi.org/10.1007/978-3-030-98876-0_33

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  • DOI: https://doi.org/10.1007/978-3-030-98876-0_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-98875-3

  • Online ISBN: 978-3-030-98876-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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