Tracking Quantity Fluctuations Using STT

Robert C. Kahlert, Ben Rode, David Baxter, Michael Witbrock, Ken Forbus, Larry Birnbaum, Purvesh Shah, Dave Schneider, Kathy Panton, Alan Belasco, David Crabbe

We describe an approach to extracting and tracking events in which measurable quantities such as economic indicators undergo a change. The causes and consequences of oil price fluctuations are an example of such events, and are tracked in the STT (Situation Tracking Testbed) prototype. We propose a representation of these event types in the logical representation language CycL and apply this representation to the problem of identifying and extracting information from news sources in RSS feed repositories.

Subjects: 10. Knowledge Acquisition; 5. Common Sense Reasoning


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