21 lines
1.1 KiB
Markdown
21 lines
1.1 KiB
Markdown
### SSHOC Multilingual Data Stewardship terminology and Multilingual Metadata SKOSifying mapping
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These Jupyter Notebooks implement a 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 during the Social Sciences & Humanities Open Cloud (SSHOC) project, into SKOS resources.
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The parsers transform the content in SKOS data following a set of mapping rules, the result is stored in *Turtle* and *rdf* files.
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##### Installation
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It is recommended to install this notebook in a virtual environment to avoid dependency clash.
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To install the SKOSifying mapping Jupyter notebook enter cloned directory and install it via pip with explicit *requirements.txt* from the project:
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- Clone the repository, enter the directory and install requirements:
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```bash
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git clone https://gitea-s2i2s.isti.cnr.it/concordia/sshoc-skosmapping.git
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cd sshoc-skosmapping
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pip install ./ -r ./requirements.txt
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```
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- Run the sshoc_31_skos.ipynb notebook
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- The result files are stored in the *sshoc-skosmapping/data* directory
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