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README.md

SSHOC Data Stewardship terminology and Metadata SKOSifying mapping

This Jupyter Notebook implements a simple parser used to transform the SSHOC Multilingual Data Stewardship Terminology (http://hdl.handle.net/20.500.11752/ILC-567) and the SSHOC Multilingual Metadata (http://hdl.handle.net/20.500.11752/ILC-568), created in task 3.1 of the Social Sciences & Humanities Open Cloud (SSHOC) project, into SKOS resources.

The parser transforms the content in SKOS data following a set of mapping rules, the result is stored in Turtle and rdf 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