Bloody brilliant. I have longed for a ML methodology that breaks out of the float vector representation because I don't think it describes naturally occurring problems that well, most ontologies are semi-structured. However, this really gets to the nub of the problem, real, but solvable, problems are manifold complexes. I don't think anyone has really built a learner for complexes though, persistent homology is a stab in the right direction but its not there yet IMHO.