SSHOC Data Stewardship terminology and Metadata SKOSifying mapping

This Jupyter Notebook implements a simple parser used to transform the Data Stewardship terminology and the Metadata, created in the Task 3.1 of the SSHOC project and published as spreadsheets, into SKOS resources. The parser reads the spreadsheets and transforms the content in SKOS data following a set of mapping rules, the result is stored in two Turtle files.

Installation

It is recommended to install this notebook in a virtual environment to avoid dependency clash. To install the SKOSifying mapping Jupyter notebook enter cloned directory and install it via pip with explicit requirements.txt from the project:

• Clone the repository, enter the directory and install requirements:

git clone https://gitea-s2i2s.isti.cnr.it/concordia/sshoc-skosmapping.git
cd *sshoc-skosmapping*
pip install ./ -r ./requirements.txt

• Run the sshoc_31_skos.ipynb notebook

• The result files are stored in the sshoc-skosmapping/data directory