Events Extraction and Aggregation for Open Source Intelligence: From Text to Knowledge
Laurie Serrano, Maroua Bouzid, Thierry Charnois, Stéphan Brunessaux, Bruno Grilhères · 2013
Due to the considerable increase of freely available data, the discovery of relevant information from textual content is a critical challenge. The work presented here takes part in ongoing researches to develop a global knowledge gathering system. It aims at building knowledge sheets summarizing all the pieces of information we know about events extracted from text. For this sake, we define a global process bringing together different methods and components from multiple domains of research.