concordia
/
sshoc-skosmapping
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity
You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
45 Commits
1 Branch
0 Tags
1.9 MiB
Jupyter Notebook 100%
 
master
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from 'master'
${ noResults }
Go to file
cesare 0b70dbcc6a added rdfs:seeAlso 1 year ago
data working on lessico panlatino fibre tessili (in progress) 1 year ago
README.md descriptions updated 1 year ago
config-lessico.yaml working on lessico panlatino fibre tessili (in progress) 1 year ago
config.yaml id changed 2 years ago
requirements.txt config added 2 years ago
rules.yaml descriptions updated 1 year ago
sshoc_31_skos-yarrrml.ipynb descriptions updated 1 year ago
sshoc_31_skos.ipynb descriptions updated 1 year ago
sshoc_lessico_panlatino.ipynb added rdfs:seeAlso 1 year ago

README.md

SSHOC Multilingual Data Stewardship terminology and Multilingual Metadata SKOSifying mapping

These Jupyter Notebooks implement a parser used to transform the SSHOC Multilingual Data Stewardship Terminology and the SSHOC Multilingual Metadata, created during the Social Sciences & Humanities Open Cloud (SSHOC) project, into SKOS resources.

The parsers transform 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