—Broadcasting of media events is a real-time action demanding reliable just in time decisions based on the current content of incoming video streams and the availability of background material. Multi-stream broadcasting of this type of event thus demand monitoring of multiple streams and background material. Due to the potentially large amount of streams and other available material, manual monitoring is likely to fail on the long term. We therefore developed an indexing pipeline based on semantic technologies that enables real-time analysis of broadcasted streams and reliable content recommendations of streams and background material based on formal machine understandable descriptions of content. Our approach enables real-time interpretation of broadcasted streams and thus establishes a bridge over the “Semantic Gap” in video analysis.