A NLG-based presentation method for supporting KDD end-users

In this paper, we propose to provide KDD end-users with a tool which can not only discover the necessary knowledge for supporting their decision making processes but also present it in an immediately and intuitively understandable way. The presentation method is based on natural language generation (NLG) techniques. It has been implemented into the agent DM-PA which, starting from an XML representation of the discovered knowledge, can generate the description of the application of this knowledge to a specific decision context by using different presentation modalities. The presentation agent has been interfaced with INGENS, a prototypical GIS with capabilities of knowledge discovery. Results of the first integration prototype are discussed.