A system for collaborative ontology development process. Given a repository with an owl file, OnToology will survey it and produce diagrams, a complete documentation and validation based on common pitfalls.

You can find a live version of OnToology online: http://ontoology.linkeddata.es.

Team: Ahmad Alobaid, Daniel Garijo, Maria Poveda, Idafen Santa, Oscar Corcho, Alba Fernandez Izquierdo

License: Apache License v2 (http://www.apache.org/licenses/LICENSE-2.0)

1. You should have docker and docker-compose installed
2. You need to have a GitHub user to act as "OnToologyUser" (you can choose any username you like).
3. Add the details as in the secret setup section below.
4. Run the automated tests script sh scripts/run_tests.sh

This file should be added in scripts/secret_setup.sh

#!/bin/sh
export github_password=""
export client_id_login=""
export client_id_public=""
export client_id_private=""
export client_secret_login=""
export client_secret_public=""
export client_secret_private=""
export test_user_token=""
export test_user_email=""

There are two workflows:

1. Create a new branch from the current live one (now it is master). Make sure to give it a presentive name. In case it is for a specific issue, include the issue number in the branch name, e.g. change-spinner-123.
2. Once you push your changes on the new branch, create a pull request and one of the admins will check your code base and will merge if it is ok.

1. Fork from the current live branch (now it is master).
2. Create a pull request, we will review it and merge if it is ok.