Title :
STORIES in Time: A Graph-Based Interface for News Tracking and Discovery
Author :
Bettina Berendt;Ilija Subasic
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.
Keywords :
"Intelligent agent","Visualization","Text mining","Space exploration","Time to market","Frequency measurement","Time measurement","Conferences","Computer science","Surges"
Conference_Titel :
Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT ´09. IEEE/WIC/ACM International Joint Conferences on
Print_ISBN :
978-0-7695-3801-3
DOI :
10.1109/WI-IAT.2009.342
