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One of the key advantages of Inductive Logic Programming systems is theability of the domain experts to provide background knowledge as modes thatallow for efficient search through the space of hypotheses. However, there isan inherent assumption that this expert should also be an ILP expert to provideeffective modes. We relax this assumption by designing a graphical userinterface that allows the domain expert to interact with the system usingEntity Relationship diagrams. These interactions are used to construct modesfor the learning system. We evaluate our algorithm on a probabilistic logiclearning system where we demonstrate that the user is able to constructeffective background knowledge on par with the expert-encoded knowledge on fivedata sets.

User Friendly Automatic Construction of Background Knowledge: Mode Construction from ER Diagrams