DBpedia, which encode the knowledge of Wikipedia, has become a reference for the web of data. Resources can be indexed by manually-defined categories which are not accessible by a machine. In this article, we take a step towards addressing this accessibility issue by means of data mining techniques for mining association rules and redescriptions. We compare these approaches on a dataset from DBpedia and present our results.