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. © 2010 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Subašić, I., & Berendt, B. (2010). Experience STORIES: A visual news search and summarization system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6323 LNAI, pp. 619–623). https://doi.org/10.1007/978-3-642-15939-8_47
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