SAT: spatial awareness from textual input

Authors:
Dmitri V. Kalashnikov;Yiming Ma;Sharad Mehrotra;Ramaswamy Hariharan;Nalini Venkatasubramanian;Naveen Ashish
Affiliations:
Information and Computer Science, University of California, Irvine;Information and Computer Science, University of California, Irvine;Information and Computer Science, University of California, Irvine;Information and Computer Science, University of California, Irvine;Information and Computer Science, University of California, Irvine;Information and Computer Science, University of California, Irvine
Venue:
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
Year:
2006

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Abstract

Recent events (WTC attacks, Southeast Asia Tsunamis, Hurricane Katrina, London bombings) have illustrated the need for accurate and timely situational awareness tools in emergency response. Developing effective situational awareness (SA) systems has the potential to radically improve decision support in crises by improving the accuracy and reliability of the information available to the decision-makers. In an evolving crisis, raw situational information comes from a variety of sources in the form of situational reports, live radio transcripts, sensor data, video streams. Much of the data resides (or can be converted) in the form of free text, from which events of interest are extracted. Spatial or location information is one of the fundamental attributes of the events, and is useful for a variety of situational awareness (SA) tasks.