Query-driven event search in news information network
Journal: cIRcle (University of British Columbia)
Year: 2014

Traditional search focuses on keyword matching and document ranking, thus users will only get a overload of related news articles or videos, with little semantics aggregation, when they input keywords among which they are interested in exploring potential connections. To capture these connections, one good way is to model news articles into a complex network of events, where an event itself is a complex network of interrelated actions (or assertions). Event search enables users to get a big pict