Can ILP Deal with Incomplete and Vague Structured Knowledge?

We sketch the results of our preliminary investigation of the issue of whether ILP can deal with incomplete and vague structured knowledge. More precisely, we provide the ingredients for learning fuzzy DL inclusion axioms with ILP. The resulting method adapts known results in ILP concerning the induction of crisp rules, notably FOIL, to the novel context of ontologies.