Semantically driven presentation of context-relevant learning material

In this paper we present our work on a new approach for an intuitive presentation of semantic relationships for the results of a semantic search algorithm. The underlying semantic search retrieves the most relevant learning material according to the context of the user. It provides the user with qualified learning material which is intelligently retrieved based on the current working situation. To ease the understanding how the presented result list has been generated a new presentation form is introduced. The preliminary results of our work are shown in a prototype implementation used for radar image interpretation. The aim is to optimally assist the image interpreters by offering relevant help and learning material.