Towards Intelligent Disaster Response Systems
Ključne reči:
disaster response, NLP, machine learning, data analyticsApstrakt
Next Generation Incident Response System (NICS) is a platform developed by MIT Lincoln Lab that is currently being used in Macedonia by the Centre for Crisis Management (CCM). It allows coordination during natural disasters between first responders of various departments and allows them to use state of the art tools to communicate and share information. This research focuses on advancing the platform by introducing intelligent agents to the platform, based on machine learning techniques and natural language processing. Our goal is to leverage data generated in social media and feed NICS with automatically processed information from these media categorized in twelve different needs (categories). This paper presents the current state of our research, preliminary results and final goals.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Reference
Bremyer, P. (2011), “Next-Generation Incident Command System”, Tech Notes, available at: https://www.ll.mit.edu/publications/technotes/TechNote_NICS.pdf (11 June 2018)
DHS Science & Technology Press Office (2016), “News Release: NATO Adapts NICS, a Communications Platform for First Responders”, available at: https://www.dhs.gov/science-and-technology/news/2016/11/28/news-release-nato-adapts-nics-first-responders (11 June 2018)
Di Ciaccio, R., Pullen, J., Breimyer, P. (2011), “Enabling distributed command and control with standards-based geospatial collaboration”, in proceedings of the 2011 IEEE International Conference on Technologies for Homeland Security (HST), 15-17 November 2011, Waltham, MA, USA, IEEE, pp. 512-517.
Kongthon, A., Haruechaiyasak, C., Pailai, J., Kongyoung, S. (2012) “The role of Twitter during a natural disaster: Case study of 2011 Thai Flood”, in proceedings of the PICMET ’12: Technology Management for Emerging Technologies, 29 July – 2 August 2012, Vancouver, BC, Canada, IEEE, pp. 2227-2232.
Strassel, S., Tracey, J. (2016), "LORELEI Language Packs: Data, Tools, and Resources for Technology Development in Low Resource Languages", in proceedings of 10th International Conference on Language Recourses and Evaluation (LREC), 23-29 May 2016, Portorož, Slovenia, European Language Resources Association (ELRA), pp. 3273-3280.
Takahashi, B., Tandoc Jr, E. C., Carmichael, C. (2015), “Communicating on Twitter during a disaster: An analysis of tweets during Typhoon Haiyan in the Philippines”, Computers in Human Behavior, Vol. 50, pp. 392-398.
Templeton, G. (2015), “How DARPA Plans to Decrypt the Languages That Computers Still Don't Understand”, available at: https://motherboard.vice.com/en_us/article/d73ezj/how-darpa-plans-to-decrypt-the-languages-that-computers-still-dont-understand (11 June 2018)
Vieweg, S., Hughes, A. L., Starbird, K., Palen, L. (2010), “Microblogging during two natural hazards events: what twitter may contribute to situational awareness”, in proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 10-15 April 2010, Atlanta, Georgia, USA, ACM, pp. 1079-1088.
