Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30124
Adapting Tools for Text Monitoring and for Scenario Analysis Related to the Field of Social Disasters

Authors: Svetlana Cojocaru, Mircea Petic, Inga Titchiev

Abstract:

Humanity faces more and more often with different social disasters, which in turn can generate new accidents and catastrophes. To mitigate their consequences, it is important to obtain early possible signals about the events which are or can occur and to prepare the corresponding scenarios that could be applied. Our research is focused on solving two problems in this domain: identifying signals related that an accident occurred or may occur and mitigation of some consequences of disasters. To solve the first problem, methods of selecting and processing texts from global network Internet are developed. Information in Romanian is of special interest for us. In order to obtain the mentioned tools, we should follow several steps, divided into preparatory stage and processing stage. Throughout the first stage, we manually collected over 724 news articles and classified them into 10 categories of social disasters. It constitutes more than 150 thousand words. Using this information, a controlled vocabulary of more than 300 keywords was elaborated, that will help in the process of classification and identification of the texts related to the field of social disasters. To solve the second problem, the formalism of Petri net has been used. We deal with the problem of inhabitants’ evacuation in useful time. The analysis methods such as reachability or coverability tree and invariants technique to determine dynamic properties of the modeled systems will be used. To perform a case study of properties of extended evacuation system by adding time, the analysis modules of PIPE such as Generalized Stochastic Petri Nets (GSPN) Analysis, Simulation, State Space Analysis, and Invariant Analysis have been used. These modules helped us to obtain the average number of persons situated in the rooms and the other quantitative properties and characteristics related to its dynamics.

Keywords: Lexicon of disasters, modelling, Petri nets, text annotation, social disasters.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1126890

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 820

References:


[1] (2016) NATO Science for Peace and Security Program. (Online). (Visited on 02.06.2016). Available: http://science.iasa.kpi.ua/sps.
[2] N. O. Hodas, G. V. Steeg, S. Chikkagoudar, J. Harrison, E. Bell, C. D. Corley, “Disentangling the Lexicons of Disaster Response in Twitter,” in Proceedings of the 24th International Conference on World Wide Web, Florence, Italy, May 18-22, 2015, pp. 1201–1204.
[3] A. S. Gowri, R. Kavitha, “Tweet Alert: Effective Utilization of Social Networks for Emergency Alert and Disaster Management System,” International Research Journal of Engineering and Technology, vol. 2, no. 8, 2015, pp. 1065–1070.
[4] H. N. Teodorescu, “Using analytics and social media for monitoring and mitigation of social disasters,” in Procedia Engineering, vol. 107C, pp. 325–334, 2015.
[5] R. Simionescu, “Hybrid POS Tagger,” in Proceedings of Language Resources and Tools with Industrial Applications Workshop (Eurolan 2011 Summer School), Cluj-Napoca, Romania, 2011, pp. 21–28.
[6] R. Rana, I. Kristiansson, I. Hallberg and K. Synnes, “An Architecture for Mobile Social Networking Applications,” in First International Conference on Computational Intelligence Communication Systems and Networks, CICSYN ’09, 2009, pp. 241–246.
[7] B. Brownlee and Y. Liang, Mobile Ad Hoc Networks: An Evaluation of Smart phone Technologies, Kingston (ONTARIO), Canada: Royal Military College of Canada, Tech. Rep. 2011, 40 p.
[8] N. D. Pankratova, P. I. Bidyuk, Y. M. Selin, I. O. Savchenko, L. Y. Malafeeva, M. P. Makukha and V. V. Savastiyanov, “Foresight and Forecast for Prevention, Mitigation and Recovering after Social, Technical and Environmental Disasters,” in Improving Disaster Resilience and Mitigation – IT Means and Tools, Springer, 2014, pp. 119–134.
[9] (2009) U.S. Department of Health & Human Services. Disaster Information Management Research Center. Disaster Glossaries. (Online). (Visited on 27.06.2016). Available: https://disaster.nlm.nih.gov/dimrc/glossaries.html
[10] (2015) Service of Civil Protection and Exceptional Situation classifier. (Online). (Visited on 02.05.2016). Available: http://www.dse.md/ro/clasificator.
[11] N. D. Pankratova and V.O. Dozirtsiv, “Application of methods for text analysis of the emotional tone to identify social disasters,” in System analysis and information technology: 18-th International conference SAIT 2016, Kyiv, Ukraine, May 30 – June 2, 2016, pp. 38.
[12] (2012) J. Franke, F. Charoy and C. Ulmer, “A Model for Temporal Coordination of Disaster Response Activities”, Proceedings of the 7th International ISCRAM Conference, Seattle, USA, (Online).Available:https://hal.inria.fr/inria-00505194/file/103-Franke_etal.pdf.
[13] Y. Ju, A. Wang and H. Che, “Modelling and Analysis of Traffic Accident Rescue Process Using GSPN”, Wireless Communications, Networking and Mobile Computing, 2007, WiCom 2007, International Conference on, pp.6601-6604.
[14] J. C. Hilland andP. C. Wright, “From text to Petri Nets: the difficulties of describing accident scenarios formally”, Proceedings of DSV-IS, pp. 161-175.
[15] L. Ma, S. Li and L. Chen, “Research on Process of Coal Mine Emergency Plan Based on Stochastic Petri Net”, Information Management, Innovation Management and Industrial Engineering (ICIII), 2011 International Conference on, 1, pp. 535-538.
[16] M.Takashi, N.Yoshifumi, F. a Yasuhiro and M.Atsushi, Development of Tsunami refuge PETRI-NET simulation system utilizable in independence disaster prevention organization,The 14