course material for tutorial

Please install docker and docker-compose to your system. Here is the link for windows: https://hub.docker.com/editions/community/docker-ce-desktop-windows/
Optional: Also install git (for windows: install git on windows: https://gitforwindows.org/)

set your environment variables (e.g. to C:\Users\user\.local\lib\python3.8\site-packages for pip and C:\Users\user\.local\lib\python3.10\site-packages for additional packages

To check if docker is installed correctly, in your shell run docker run hello-world You will get a hello message if everything was installed correctly

To start up jupyter, we will use docker to start a standard jupyter notebok

1. In your shell, run docker run -p 8888:8888 jupyter/scipy-notebook
2. This might take a while. Wait till the container is ready
3. Open the Jupyter-Lab using the link shown in your terminal (something like http://127.0.0.1:8888/lab?token=...), it should open a tab in your browser
4. if you get a "token required" website -> disable cookies in your browser

Now you should have a blank jupyter notebook.

We are going to use a SPARQL kernel in our lectures (the first Tutorials can be used without it). To install this, please follow these steps:

1. In your jupyter notebook, open the terminal
2. in the terminal, run pip install sparqlkernel
3. Then run jupyter sparqlkernel install --user

If you now switch to the launcher start page, in addition to the python kernel you should now see a SPARQL kernel installed.

Now let's start with the Tutorials!

You can either

• clone this repository using git (e.g. git bash): git clone https://github.com/michaelakuempel/ActionableKnowledgeRepresentation.git or
• download the tutorial jupyter notebook files directly

In your jupyter notebook, please upload the tutorial files

To open the notebooks you can choose them from the left sidebar.