STORIES in Time: A Graph-Based Interface for News Tracking and Discovery

—We present the STORIES methods and tool for (a) an abstracted story representation from a collection of time-indexed documents; (b) visualising it in a way that encourages users to interact and explore in order to discover temporal “story stages” depending on their interests; and (c) supporting the search for documents and facts that pertain to the user-constructed story stages. In addition, we give an overview of evaluation studies of the tool. Keywords-news analysis; temporal text mining; burstiness; visualisation

• Type: Conference
• Year: 2009
• Where: IAT
• Authors: Bettina Berendt, Ilija Subasic
• Keywords: Abstracted Story Representation, IAT 2009, Intelligent Agent, Story Stages, User-constructed Story Stages