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README.md
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# sshoc-tools
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### SSHOC Data Stewardship terminology and Metadata SKOSifying mapping
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This Jupyter Notebook implements a simple parser used to transform the Data Stewardship terminology and the Metadata,
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created in the Task 3.1 of the SSHOC project and published as spreadsheets, into SKOS resources.
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The parser reads the spreadsheets and transforms the content in SKOS data following a set of mapping rules,
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the result is stored in two *Turtle* 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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{
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"data": {
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"text/plain": [
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"<Graph identifier=Nb61b2c34a07d4dc69f11be18779c6cff (<class 'rdflib.graph.Graph'>)>"
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"<Graph identifier=N154f08dbddf34364b307d99f1e8be418 (<class 'rdflib.graph.Graph'>)>"
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]
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},
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"execution_count": 7,
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{
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"data": {
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"text/plain": [
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"<Graph identifier=N18d0f9a944dc43bdb1a1f4c0131302a3 (<class 'rdflib.graph.Graph'>)>"
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"<Graph identifier=Nc8bd6a6227614ea78529b51b43dbda88 (<class 'rdflib.graph.Graph'>)>"
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]
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},
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"execution_count": 15,
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.9"
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"version": "3.10.0"
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}
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},
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"nbformat": 4,
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