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There are thousands of applications where we wish to derive a story about a particular event or a person or phenomenon. For example, consider an application where a person is walking through an archaeological site such as Pompeii. Though a casual tourist may be satisfied with the simple title which usually marks exhibits, a person with a deeper interest may be unsatisfied. In the same vein, consider a US military soldier stationed at a checkpoint in Baghdad - he or she may want to know a person's "story" in order to make critical security decisions. As the diversity of the two previous applications shows, what goes into a story depends not only on the basic facts, but also on the specific items of interest to the listener. We formally define a story to be a set of facts about a given subject that satisfies a "story length" constraint. An optimal story is a story that maximizes the value of an objective function measuring the goodness of a story.
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Filter huge amounts of data to deliver short, succinct, personalized stories to diverse users using diverse devices.
Extract stories about:
From multiple heterogeneous data sources:
- Text documents
- Web sources
- Relational databases
- Object databases
- Flat files
- Proprietary formats
Automatically customize stories to fit user needs
Deliver stories across multiple access devices:
- Wireless PDA
- Laptops
- Cell phones
- Key Applications
- Stories about Greek Mythology characters (with Pompeii)
- Stories about Pakistani nuclear scientists (with US army)
- Stories about tribes on Pakistan/Afghan border (with US army)
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