Modèle temporel, spatial et sémantique pour la découverte de relations entre événements
Arnaud Saval · HAL (Le Centre pour la Communication Scientifique Directe) · 2011
The popularity of social networks and new forms of communication has led to the emergence of new sources of information that should be studied. Anyone is able to publish and highlight the information of interest.Today, these behaviors appear as ways to track a subject of interest: eg H1N1. However, the automatic processing of such information needs to be improved in order to semantically define a topic of interest (the implications of Myanmar Tsunami). This thesis proposes a semantic extension of the modeling of events in time and space to represent the evolution of these topics of interest. This report explains how to use the introduced formalism to define the methods of reasoning on a knowledge base structured to improve the situation representation by discovering relationships in this information.