Visualization of Intuitive Explanations using Koios+

In a certain sense, explanations in computer science are answers to questions and often an explanatory dialog is necessary to support users of a software tool. In this paper, we introduce the concept of intuitive explanations representing the first explanations in an explanatory dialog. Based on an abstract approach of explanation generation we present the generic explanation component Koios++ applying Semantic Technologies to derive intuitive explanations. We illustrate our generation approach by means of the information extraction system smartFIX and put a special emphasis on visualizing explanations as semantic networks using a special layouting algorithm. smartFIX itself is a product portfolio for knowledge-based extraction of data from any document format. The system automatically determines the document type and extracts all relevant data for the respective business process. In this context, Koios++ is used to justify extraction results.