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A Programming Interface for Creating Data According to the SPAR Ontologies and the OpenCitations Data Model

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The Semantic Web (ESWC 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13261))

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Abstract

The OpenCitations Data Model (OCDM) is a data model for bibliographic metadata and citations based on the SPAR Ontologies and developed by OpenCitations to expose all the data of its collections as sets of RDF statements compliant with an ontology named OpenCitations Ontology. In this paper, we introduce oc_ocdm, i.e. a Python library developed for creating OCDM-compliant RDF data even if the programmer has no expertise in Semantic Web technologies. After an introduction of the library and its main characteristics, we show a number of projects within the OpenCitations infrastructure that adopt it as their building block unit.

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Notes

  1. 1.

    https://python-poetry.org/.

  2. 2.

    https://github.com/RDFLib/rdflib.

  3. 3.

    https://www.vosviewer.com/.

  4. 4.

    https://citationgecko.com/.

  5. 5.

    https://visualbib.uniud.it/en/project/.

  6. 6.

    https://www.otzberg.net/oahelper/.

  7. 7.

    https://dblp.org.

  8. 8.

    https://lens.org.

  9. 9.

    https://www.openaire.eu/.

  10. 10.

    https://meta.wikimedia.org/wiki/Wikicite/grant/Wikipedia_Citations_in_Wikidata.

  11. 11.

    https://github.com/opencitations/meta.

  12. 12.

    https://github.com/opencitations/oc_graphenricher.

  13. 13.

    https://github.com/opencitations/time-agnostic-library.

  14. 14.

    https://github.com/RDFLib/pySHACL.

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Acknowledgements

This work has been funded by the project “Open Biomedical Citations in Context Corpus" (Wellcome Trust, Grant n. 214471/Z/18/Z) and the project “Wikipedia Citations in Wikidata" (Wikimedia Foundation, https://meta.wikimedia.org/wiki/Wikicite/grant/Wikipedia_Citations_in_Wikidata), and partially funded by the European Union’s Horizon 2020 research and innovation program under grant agreement No 101017452 (OpenAIRE-Nexus). We would like to thank (in alphabetic order) Fabio Mariani, Arcangelo Massari, and Gabriele Pisciotta for the constructive feedback.

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, University of Bologna, Bologna, Italy

    Simone Persiani

  2. Research Centre for Open Scholarly Metadata, Department of Classical Philology and Italian Studies, University of Bologna, Bologna, Italy

    Marilena Daquino & Silvio Peroni

  3. Digital Humanities Advanced Research Centre (/DH.arc), Department of Classical Philology and Italian Studies, University of Bologna, Bologna, Italy

    Marilena Daquino & Silvio Peroni

Authors
  1. Simone Persiani
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  2. Marilena Daquino
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  3. Silvio Peroni
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Corresponding author

Correspondence to Silvio Peroni .

Editor information

Editors and Affiliations

  1. University of Amsterdam, Amsterdam, Noord-Holland, The Netherlands

    Paul Groth

  2. Universidad Simón Bolívar, Leibniz Information Centre for Science and Technology, Hannover, Niedersachsen, Germany

    Maria-Esther Vidal

  3. Institut Polytechnique de Paris "DIG", Télécom ParisTech, Palaiseau, France

    Fabian Suchanek

  4. University of Southern California, Marina del Rey, CA, USA

    Pedro Szekley

  5. IBM Research - Thomas J. Watson Research, Yorktown Heights, NY, USA

    Pavan Kapanipathi

  6. LaSIGE, Fac de Ciencias,Edif C6, Pis0 3, Universidade de Lisboa, Lisbon, Portugal

    Catia Pesquita

  7. University of Nantes, Nantes, France

    Hala Skaf-Molli

  8. Aalto University, Espoo, Finland

    Minna Tamper

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Persiani, S., Daquino, M., Peroni, S. (2022). A Programming Interface for Creating Data According to the SPAR Ontologies and the OpenCitations Data Model. In: Groth, P., et al. The Semantic Web. ESWC 2022. Lecture Notes in Computer Science, vol 13261. Springer, Cham. https://doi.org/10.1007/978-3-031-06981-9_18

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