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.
This work was supported by NSF grants 0331707, 0331690.
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References
Cheng, R., Kalashnikov, P.S.: Querying imprecise data in moving object environments. TKDE 16 (2004)
Cheng, R., Kalashnikov, D., Prabhakar, S.: Evaluating probabilistic queries over imprecise data. In: SIGMOD (2003)
Cheng, R., Xia, Y., Prabhakar, S., Shah, R.: Vitter: Efficient indexing methods for probabilistic threshold queries over uncertain data. In: Proc. of VLDB (2004)
Woodruff, A., Plaunt, C.: GIPSY: Georeferenced Information Processing SYstem (1994)
Kalashnikov, D.V., Ma, Y., Hariharan, R., Mehrotra, S.: Spatial queries over (imprecise) event descriptions. Submitted for Publication (2005)
Kalashnikov, D., Ma, Y., Mehrotra, S., Hariharan, R.: Spatial indexing over imprecise event data. In: Submitted to EDBT 2006 (2006)
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Kalashnikov, D.V., Ma, Y., Mehrotra, S., Hariharan, R., Venkatasubramanian, N., Ashish, N. (2006). SAT: Spatial Awareness from Textual Input. In: Ioannidis, Y., et al. Advances in Database Technology - EDBT 2006. EDBT 2006. Lecture Notes in Computer Science, vol 3896. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11687238_82
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DOI: https://doi.org/10.1007/11687238_82
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-32960-2
Online ISBN: 978-3-540-32961-9
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