  One of the key advantages of Inductive Logic Programming systems is the
ability of the domain experts to provide background knowledge as modes that
allow for efficient search through the space of hypotheses. However, there is
an inherent assumption that this expert should also be an ILP expert to provide
effective modes. We relax this assumption by designing a graphical user
interface that allows the domain expert to interact with the system using
Entity Relationship diagrams. These interactions are used to construct modes
for the learning system. We evaluate our algorithm on a probabilistic logic
learning system where we demonstrate that the user is able to construct
effective background knowledge on par with the expert-encoded knowledge on five
data sets.
