The tutorials and demonstrations you will find here arose from the April II workshop @ ECML/PKDD 2006 on "Applications of Probabilistic Inductive Logic". They are a hands-on set of tutorials and demonstrations in the area of probabilistic logic learning aka probabilistic ILP aka statistical relational learning. They cover many aspects of probabilistic ILP, including foundations of probabilistic ILP, toolboxes of probabilistic ILP systems, and the applications of these techniques to (multi-class) protein fold classification and to learning biochemical models.
We hope that these tutorials and demonstrations give people the opportunity to learn about probabilistic logic learning through hands-on tutorials, exercises, and systems.