PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Experience STORIES: A visual news search and summarization system
Ilija Subasic and Bettina Berendt
In: ECML/PKDD 2010 Demo Sessions, Sep 2010, Barcelona, Spain.

Abstract

Using data collections available on the Internet has for many people become the main medium for staying informed about the world. Many of these collections are dynamic by nature, evolving as the subjects they describe change. We present the STORIES system for (a) learning an abstracted story representation from a collection of time-indexed documents; (b) visualizing 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.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Information Retrieval & Textual Information Access
ID Code:8063
Deposited By:Bettina Berendt
Deposited On:17 March 2011

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