One of the biggest challenges is information extraction on historical events from different textual data. We will start by identifying the ‘bigger’ events that have been deemed important enough to receive a proper name (e.g., French Revolution, Second World War). As the behaviour of references to this type of events is similar to other named entities, we are recasting the identification of these event labels as an named entity recognition task[9]. In order to detect accompanying actors, locations and temporal information and the relations between these, as well as smaller events that do not have a proper name we will first employ state of the art named entity and term recognition techniques[10], followed by relation finding[11].