EXPOSÉ: EXploring Past news fOr Seminal Events

Recent increase in digitalization and archiving efforts on news data have led to overwhelming amount of online information for a general user, thus making it difficult for them to retrospect on past events. One dimension along which past events can be effectively organized is time. Motivated by this idea, we introduce EXPOSÉ, an exploratory search system that explicitly uses temporal information associated with events to link different kinds of information sources for effective exploration of past events. In this demonstration, we use Wikipedia and news articles as two orthogonal sources where Wikipedia is viewed as an event directory that systematically lists seminal events in a year, and news articles as a source of detailed information on each event. To this end, our demo exhibits implementation of several time-aware retrieval approaches that a user could opt for retrieving relevant news articles, a timeline tool for temporal analysis and entity-based facets for filtering results.