Does anybody know of work done to improve the results of machine learning on a set of data by first giving the data a semantic treatment?
Most papers that Google shows me use machine learning techniques to help perform semweb tasks like semantic annotation or ontology generation. Much of this work is very cool, but I'm interested in the opposite direction. For example, ways that a machine learning algorithm for Netflix recommendations be improved with ontologizing.