A Semantic Extension for Event Modelisation

Social networks and fast blogging services are interesting information sources. Anyone can contribute and submit information that matters to him/her. Among these many digital information sources, some appeared on the Internet as public means to be aware and to follow disasters and their evolutions. However, automatic raw information processing is more or less complex, error producer, relevant and reliable. This paper introduces a formal event modelisation extended with semantic properties to represent these information. We explain how to combine this extended model with reasoning methods on structured knowledge in order to discover unobvious relations hidden in information. Finally, we present a prototype based on this model and we discuss results returned by our experiments.