The aim of this research is to design a knowledge discovery system that facilitates the identification of new risks of geospatial data misuse. This research is motivated by the ir-regularity of risk analysis efforts and the poor semantic of the collected information about risks. As a consequence, many foreseeable risky aspects inherent to the data remain over-looked, leading to ill-defined specification and faulty decisions. In this paper, we present a contributed knowledge discovery system that aims at enriching the semantic information about risks of geospatial data misuse in order to identify foreseeable risks and improve its underlying quality. The proposed system relies on a systematic and more active involve-ment of users in risk analysis. The approach consists of 1) providing an overview of the related work, 2) presenting an ontology-based knowledge discovery system, 3) presenting the components of the proposed system, and finally 4) we conclude by a discussion.