Guidelines Demo

This web application can show off the coolness of the TMR and TMR4I ontologies developed by Veruska Zamborlini in detecting interactions between the recommendations of medical guidelines.

This repository also contains the metis application that runs with Swish. You can find a separate readme file in that directory.

Setup (using Docker)

• Make sure you have docker installed on your system (http://docker.com)
• Open up a terminal window and clone or download this repository to a location of your choice:

git clone https://github.com/Data2Semantics/guidelines.git

• Change into the guidelines directory
• Download the latest version of Stardog from https://stardog.com
• Copy the zipfile for the latest version of Stardog into this directory (e.g. stardog-5.0-beta.zip).
• Also copy the stardog-license-key.bin file into this directory
• From the command line run docker-compose build to create the Docker images

Starting (using Docker)

• Change into the guidelines directory and run docker-compose up
• Go to http://localhost:5000 and have fun!

Setup (from source)

• Make sure you have pip and virtualenv installed (easy_install pip, pip install virtualenv)
• Go to the directory in which you cloned this Git repository, and install a virtual environment: virtualenv .
• Activate the virtual environment: source bin/activate
• Install the required packages: pip install -r requirements.txt
• Make sure you have a properly installed Stardog server running, with security disabled (stardog-admin server start --disable-security)
• Go to the src directory, and run create-stardog.sh and then reset-stardog.sh

Starting (from source)

• Inside the src directory, run python run.py
• Go to http://localhost:5000 and have fun!