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

  • Authors:
  • Bettina Berendt;Ilija Subasic

  • Affiliations:
  • -;-

  • Venue:
  • WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
  • Year:
  • 2009

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Abstract

We present the STORIES methods and tool for (a) learning 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.