ORACC Dataset Format to LOD FactGrid Cuneiform Wikibase (Oracc2LOD)

ORACC Dataset Format to LOD FactGrid Cuneiform Wikibase (Oracc2LOD)

• Anderson, Adam^{1, 2} 
• Melinee, Her¹

The ORACC 2 FactGrid data repository serves as a version-controlled medium between the updates taking place on the ORACC website (https://oracc.museum.upenn.edu/) and the FactGrid Cuneiform Project.

Within this repository we maintain versions of the following files:

1. ORACC_Projects.csv

2. all_merged.csv

3. factgrid_df.csv

4. finaldf.csv

5. RulerCatalogue.csv

Data Descriptions:

1. ORACC_Projects.CSV is a curated list of projects found on the ORACC Project website (https://oracc.museum.upenn.edu/projectlist.html) [accessed March 8, 2024]. It contains the links and license information for each of the projects currently available on ORACC.

2. all_merged.CSV is the resulting data frame from the Metacatalogue Jupyter Notebook (https://github.com/ancient-world-citation-analysis/Oracc2LoD/blob/main/7.1%20-%20Metacatalogue.ipynb). The construction and format of this data is described in the notebook, and the fields are derived from the CDLI (x) and ORACC (y) databases, respectively.

3. factgrid_df.CSV is the resulting data frame from the FactGrid QuickStatement Processing Jupyter Notebook (https://github.com/ancient-world-citation-analysis/Oracc2LoD/blob/main/7.3%20-%20Factgrid%20Quickstatement%20Processing.ipynb). The construction and format of this data is described in the notebook, and the field are derived from the Metacatalogue (above) along with the Properties in FactGrid Directory of Properties for more details (https://database.factgrid.de/wiki/FactGrid:Directory_of_Properties).

4. finaldf.CSV is the resulting data frame from the Large DataFrame of Unique Words Jupyter Notebook (https://github.com/ancient-world-citation-analysis/Oracc2LoD/blob/main/3-Large%20DF%20of%20Unique%20Words.ipynb). The construction and format of this data is described in the notebook.

5. RulerCatalogue.CSV is the resulting data frame from the RulerCatalogue Jupyter Notebook (https://github.com/ancient-world-citation-analysis/Oracc2LoD/blob/main/6-%20RulerCatalogue.ipynb). The construction and format of this data is described in the notebook.