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Oracc to Linked Open Data: tools and methods (i.e. Jupyter Notebooks) for making Linked Open Data triple statements in Wikidata and FactGrid from ORACC project data (http://oracc.museum.upenn.edu/projectlist.html)

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Oracc2LoD

Oracc to Linked Open Data: tools and methods (i.e. Jupyter Notebooks) for making Linked Open Data triple statements in Wikidata and FactGrid from ORACC project data (http://oracc.museum.upenn.edu/projectlist.html) All contributions are CC0

The following Jupyter Notebooks are currently in development in the Colab environment. Updates will be added on a regular basis. The resulting datasets can be found in Zenodo. To replicate any of our results you will need to download and change the file directory path to point to the data in your Google Drive folder. For any questions on how to run any of these, please reach out to Adam Anderson.

Authors:

  • First name: Adam

  • Last name: Anderson

    • E-mail address: adam.anderson@factgrid.eu
    • Affiliation: Research director of the FactGrid Cuneiform project (2021—); project partner with UC Berkeley (2016—)
    • Role: Adam supervised the following Data Discovery research students and guided the development of the Jupyter Notebooks.
  • First name: Melinee

  • Last name: Her

    • Affiliation: Data Discovery research student at UC Berkeley (2022-2024)
    • Role: Melinee contributed to this project by developing the numbered Jupyter Notebooks 1-8.
  • First name: Minoo

  • Last name: Kim

    • Affiliation: Data Discovery research student at UC Berkeley (2022-2023)
    • Role: Minoo contributed to this project by developing the sux-gloss.ipynb Jupyter Notebook.

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Oracc to Linked Open Data: tools and methods (i.e. Jupyter Notebooks) for making Linked Open Data triple statements in Wikidata and FactGrid from ORACC project data (http://oracc.museum.upenn.edu/projectlist.html)

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