- Before running the application, docker and docker-compose should be installed in your system.
chmod +x buildProject.sh && ./buildProject.sh- builds the UI and runs the docker containers- If not previously run before, go to localhost:3030, create the dataset resume and add the 3 rdf files in the Ontologies folder (countries.ttl, resume2rdf_ontology.ttl, resume2rdf_value_ontology.ttl) Credentials are: username: admin pass: pw123
- App is running on localhost:5000
HINT You can use the sampleUploadFile.json for playing around with the features of the app.
The Ontology used as a base for our web app is located in the Ontologies directory. Main Ontology: resume2rdf_ontology.ttl Value Ontology: resume2rdf_value_ontology.ttl
In the project UI directory, you can run:
Runs the app in the development mode.
Open http://localhost:3000 to view it in the browser.
The page will reload if you make edits.
You will also see any lint errors in the console.
You will need to run:
npm run build
Builds the app for production to the build folder.
It correctly bundles React in production mode and optimizes the build for the best performance.
The build is minified and the filenames include the hashes.
And then you need to run the python server to fully use the application (in Docker app.py)