TY - GEN
T1 - Social media alert and response to threats to citizens (SMART-C)
AU - Adam, Nabil
AU - Eledath, Jayan
AU - Mehrotra, Sharad
AU - Venkatasubramanian, Nalini
PY - 2012
Y1 - 2012
N2 - Social media, such as blogs, Twitter, and information portals, have emerged as the dominant communication mechanism of society. Exploiting such input to gain awareness of an incident is a critical direction for research in effective emergency management. In this paper we present an overview of the SMART-C system, which is part of the social media initiative at the Department of Homeland Security. The system aims to enable robust bidirectional communication between emergency management and the public at large throughout the disaster life-cycle via a multitude of devices and modalities including cell phones, MMS messages, text messages, blogs, Twitter, etc. A discussion of the major components of SMART-C and related research challenges is included. These components include mechanisms to model event level semantic information, a platform for implementing multi-sensor fusion, mechanisms for estimating the veracity of information, data cleaning to reduce uncertainty and enhance accuracy of event detection and notification, and spatiotemporal analyses for pattern and trend analyses for higher level observations.
AB - Social media, such as blogs, Twitter, and information portals, have emerged as the dominant communication mechanism of society. Exploiting such input to gain awareness of an incident is a critical direction for research in effective emergency management. In this paper we present an overview of the SMART-C system, which is part of the social media initiative at the Department of Homeland Security. The system aims to enable robust bidirectional communication between emergency management and the public at large throughout the disaster life-cycle via a multitude of devices and modalities including cell phones, MMS messages, text messages, blogs, Twitter, etc. A discussion of the major components of SMART-C and related research challenges is included. These components include mechanisms to model event level semantic information, a platform for implementing multi-sensor fusion, mechanisms for estimating the veracity of information, data cleaning to reduce uncertainty and enhance accuracy of event detection and notification, and spatiotemporal analyses for pattern and trend analyses for higher level observations.
KW - alerting
KW - emergency management
KW - robust data analytics
KW - social media
UR - http://www.scopus.com/inward/record.url?scp=84874418911&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84874418911&partnerID=8YFLogxK
U2 - 10.4108/icst.collaboratecom.2012.250713
DO - 10.4108/icst.collaboratecom.2012.250713
M3 - Conference contribution
AN - SCOPUS:84874418911
SN - 9781936968367
T3 - CollaborateCom 2012 - Proceedings of the 8th International Conference on Collaborative Computing: Networking, Applications and Worksharing
SP - 181
EP - 189
BT - CollaborateCom 2012 - Proceedings of the 8th International Conference on Collaborative Computing
T2 - 8th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2012
Y2 - 14 October 2012 through 17 October 2012
ER -