Abstract
- Increasing the resilience of the society against disorders, such as disasters, attacks or threatening groups, is a major challenge. Recent events highlight the importance of a resilient society and steps which are required to be taken in resilience engineering. textit{A priori} the optimal way to handle such adverse events is to prevent them, or at least provide appropriate courses of preparation. The essential requirement for every kind of preparation is information about relevant upcoming events. Such information can be gained for example from social networks and can form the basis for a long-term and short-term strategic planning by security forces. For that purpose, we here propose an application framework for knowledge-based social network monitoring, which aims at predicting short-term activities, as well as the long-term development of potentially dangerous groups. In this work, a theoretical outline of this approach is given and discussed.