Basic Deployment Process
- Cloning the code base:
git clone https://github.com/growgraph/ontocast.git - Go to the project catalog:
cd ontocast - Copy the Fuseki configuration file:
cp docker/fuseki/.env.example docker/fuseki/.env
Key configuration parameters
- FUSEKI_URI: Setting up service endpoints (e.g. http://localhost:3032/test)
- FUSEKI_AUTH: Configure the administrator account/password (it is recommended to change the default value)
- VOLUME path: Recommended to mount persistent volumes to store ternary data
priming command
fulfillmentdocker compose --env-file .env up -dAfter starting the service: 1) access the Fuseki management interface through port 3032; 2) test the SPARQL endpoint connectivity; 3) check the logs to make sure there are no errors reported. Note that the first run needs to wait for the completion of ontology initialization (about 2-5 minutes).
This answer comes from the articleOntoCast: an intelligent framework for extracting semantic triples from documentsThe
May not be reproduced without permission:AI productivity tools " How to deploy OntoCast and configure Fuseki storage via Docker?
