Using Temporal Analytics for Early Discovery of Upcoming Threats

An ocean of data is available on the web. From this ocean of data, information can in theory be extracted and used by analysts for detecting emergent trends. However, to do this manually is a daunting and nearly impossible task. We describe an implemented semi-automatic system in which data is automatically collected from selected sources, and to which linguistic analysis is applied to extract, e.g., entities and events. The extracted information is automatically transformed into OSINT reports which are clustered and visualized. The user can interact with the system in order to obtain a better awareness of historic as well as emergent trends.