ckanext-kgcreation

ckanext-kgcreation is a CKAN plugin that adds the ability to generate RDF triples from datasets, services, resources, and organization. KGCreation uses SDM-RDFizer (https://github.com/SDM-TIB/SDM-RDFizer) as a knowledge graph creation engine.

To install ckanext-kgcreation:

1. Activate your CKAN virtual environment, for example::

   . /usr/lib/ckan/default/bin/activate

2. Install the ckanext-kgcreation Python package into your virtual environment::

   pip install ckanext-kgcreation

3. Add kgcreation to the ckan.plugins setting in your CKAN config file (by default the config file is located at /etc/ckan/default/ckan.ini).

4. Set up environment variables in the .env file. CKAN_KG_DOMAIN sets the value for the Domain of knowledge graph. ENDPOINT_URL sets the value of the url of the endpoint. For ENDPOINT_URL, only add the domain and port (i.e. http://localhost:8890/) including the slash (/).

5. When using the Docker image for CKAN and a docker container endpoint, you can specify the endpoint's URL using the container name of the endpoint, i.e., ENDPOINT_URL=http://endpoint:8890/ where endpoint is the container's name.

6. Restart CKAN. For example if you've deployed CKAN with Apache on Ubuntu::

   sudo service apache2 reload

7. Set environment variables

   7.1 CKAN_KG_DOMAIN: the domain for knowledge graph. For example, https://research.tib.eu/ldm.

   7.2 SUB_KG_STORAGE: indicates if the individual triples of each dataset will be stored outside the knowledge graph. This is for the representation of the metadata in multiple formats. This is optional. This can be "True" or "False". If not given, it will consider false by default.

   7.3 SHOW_EXPORT: indicates if metadata export options should be shown on the dataset page. Requires SUB_KG_STORAGE to be set to "True". This is optional. This can be "True" or "False". If not given, it will consider false by default.