  Though many ontologies have huge number of classes, one cannot find a good
number of object properties connecting the classes in most of the cases. Adding
object properties makes an ontology richer and more applicable for tasks such
as Question Answering. In this context, the question of which two classes
should be considered for discovering object properties becomes very important.
We address the above question in this paper. We propose a simple machine
learning framework which exhibits low time complexity and yet gives promising
results with respect to both precision as well as number of class-pairs
retrieved.
