Discovery of interactive graphs for understanding and searching time-indexed corpora
Knowledge and Information Systems
From bursty patterns to bursty facts: The effectiveness of temporal text mining for news
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Story graphs: Tracking document set evolution using dynamic graphs
Intelligent Data Analysis - Dynamic Networks and Knowledge Discovery
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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.