Mapping speech streams to conceptual structures

We describe a software system that processes textual data and spoken input streams of natural language and arranges the information in a meaningful way on the screen: concepts as nodes, relations as edges. For spoken input, the software simulates conceptual awareness. A naturally spoken speech stream is converted into a word stream (speech-to-text), the most significant concepts are extracted and associated to related concepts, which have not been mentioned by the speaker(s) yet. The result is displayed on a screen as a conceptual structure.