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2 Research products, page 1 of 1

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  • Open Access English
    Authors: 
    Nina C. Rastinger; Massimiliano Carloni; Klaus Illmayer; Matej Ďurčo;
    Publisher: Zenodo

    This Jupyter Notebook provides Python code for comparing different vocabularies (such as the SSH Open Marketplace keywords, the Digital Humanities Austria taxonomy, or Getty AAT) and identifying possible overlaps. “Vocabularies” is used here in a broad sense, including both controlled vocabularies (ranging from controlled lists to thesauri) and folksonomies, i.e. collections of uncontrolled keywords used in a service.

  • Open Access Spanish
    Authors: 
    Toscano, Maurizio; Aitor Díaz;
    Publisher: Zenodo
    Project: EC | DESIR (731081), EC | POSTDATA (679528)

    Mapping digital humanities in Spain (1993-2019) This dataset has been extensively analysed in the following paper https://doi.org/10.3145/epi.2020.nov.01 and has also been used for the following poster https://doi.org/10.5281/zenodo.4256689

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Advanced search in Research products
Research products
arrow_drop_down
Searching FieldsTerms
Any field
arrow_drop_down
includes
arrow_drop_down
Include:
The following results are related to DARIAH EU. Are you interested to view more results? Visit OpenAIRE - Explore.
2 Research products, page 1 of 1
  • Open Access English
    Authors: 
    Nina C. Rastinger; Massimiliano Carloni; Klaus Illmayer; Matej Ďurčo;
    Publisher: Zenodo

    This Jupyter Notebook provides Python code for comparing different vocabularies (such as the SSH Open Marketplace keywords, the Digital Humanities Austria taxonomy, or Getty AAT) and identifying possible overlaps. “Vocabularies” is used here in a broad sense, including both controlled vocabularies (ranging from controlled lists to thesauri) and folksonomies, i.e. collections of uncontrolled keywords used in a service.

  • Open Access Spanish
    Authors: 
    Toscano, Maurizio; Aitor Díaz;
    Publisher: Zenodo
    Project: EC | DESIR (731081), EC | POSTDATA (679528)

    Mapping digital humanities in Spain (1993-2019) This dataset has been extensively analysed in the following paper https://doi.org/10.3145/epi.2020.nov.01 and has also been used for the following poster https://doi.org/10.5281/zenodo.4256689

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