A question facet is the critical list of data chunks that clarifies a hidden part of a query. Existing calculations mine aspects of a question by removing regular records contained in top query items. The scope of aspects and feature things mined by this sort of strategies may be restricted, in light of the fact that exclusive few indexed lists are utilized. Keeping in mind the end goal to take care of this issue, we propose mining question aspects by utilizing learning bases which contain superb organized information. In particular, we initially produce features in view of the properties of the elements which are contained in Freebase and compare to the inquiry. Second, we mine underlying question features from indexed lists, at that point growing them by finding comparable elements from Freebase. Test results demonstrate that our proposed strategy can altogether enhance the scope of aspect things over the cutting edge calculations.