Forked for the purposes of displaying what part I contributed to this project. All code here was written by me, with the exception of endpoint.py, also some refactoring was done by others.

A triplestore database for the epidemiological and biological data related to the bacteria Campylobacter Jejuni. Also a web application for adding and updating data (including batch upload, though still working on that), querying data, and soon visualizations and analytics. Meant to run on a Blazegraph server with the namespace campy. Sripts/csvToDB.py serves the purpose of cleaning and making triples out of legacy data that is stored on a csv that is stored privately (it can't be public as it contains sensitive info).

The ontology campyOntology.owl is the primarily used ontology and all SPARQL queries in the web app are built around it. It imports LabTests.owl.

• cd WebApp, then run sh install.sh. install.sh will start a virual environment and download flask and all required python packages.
• Start a Blazegraph server on port 9999 (change the port number in Scripts/endpoint.py if you wish)
• Create a new namespace named campy. Set TruthMaintence to True and change com.bigdata.rdf.axioms.NoAxioms to com.bigdata.rdf.axioms.OwlAxioms.
• Upload campyOntology2.0.owl and LabTests.owl to Blazegraph (both are in Turtle format)
• If you were me you would then upload the csv with the legacy data upto the Blazegraph server using csvToDB.py, but like I said the csv is stored privately.
• Run python ./run.py (in the WebApp dir)
• The web app should now be running locally on port 5000.

At this point, you can run a query that fetches the names of all the isolates in the database by clicking the names link (and also filter by species), and you can add data to the database by clicking the add isolate link (though right now it just prints the triple to the terminal; we're still in the testing stages).

Have fun.