PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

STORIES in time: a graph-based interface for news tracking and discovery
Bettina Berendt and Ilija Subasic
In: Intelligent Analysis and Processing of Web News Content (IAPWNC) at The 2009 IEEE /WIC / ACM International Conferences Web Intelligence (WI’09) / Intelligent Agent Technology (IAT’09)(2009).

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.

EPrint Type:Conference or Workshop Item (Paper)
Additional Information:DOI 10.1109/WIIAT. 2009.342; see http://www.cs.kuleuven.be/~berendt for access to an electronic version
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Information Retrieval & Textual Information Access
ID Code:6725
Deposited By:Bettina Berendt
Deposited On:08 March 2010