Advertisement

Data Sources Handling for Emergency Management: Supporting Information Availability and Accessibility for Emergency Responders

  • Vimala Nunavath
  • Andreas Prinz
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10274)

Abstract

Information is an essential component for better emergency response. Although a lot of information being available at various places during any kind of emergency, many emergency responders (ERs) use only a limited amount of the available information. The reason for this is that the available information heterogeneously distributed, in different formats, and ERs are unable to get access to the relevant information. Moreover, without having access to the needed information, many emergency responders are not able to obtain a sufficient understanding of the emergency situation. Consequently, a lot of time is being used to search for the needed information and poor decisions may be made. Therefore, in this paper, our research focuses on bringing the available heterogeneously dispersed information together to improve the information accessibility for ERs. In this study, we present an approach for integration of heterogeneous databases in the Semantic Web context using a Model-driven data integration approach based on an information model. We propose an architecture using the Enterprise Services Bus (ESB) and web service technologies for facilitating knowledge sharing and data exchange between different ERs. Based on the proposed architecture, we developed a system prototype and presented it with an indoor fire emergency response scenario.

Keywords

Indoor fire emergency Model-driven data integration Information accessibility Situational awareness Information exchange Mule ESB Enterprise-Service-Bus (ESB) Data mapping Service-Oriented Architecture (SOA) Human-Centered Design (HCD) Model-Driven Architecture (MDA) 

Notes

Acknowledgment

We would like to owe our gratitude to the Grimstad fire and rescue service personnel, and Kristiansand police staff who allocated their time and supported us during our research work. We would also like to appreciate Tina Comes and Jaziar Radianti for providing their support and help throughout our research.

References

  1. 1.
    Tsai, M.-K., Yau, N.-J.: Improving information access for emergency response in disasters. Nat. Hazards 66(2), 343–354 (2013)CrossRefGoogle Scholar
  2. 2.
    CTIF, World fire statistics. International Association of Fire and Rescue Services, p. 62 (2016). ctif.org
  3. 3.
    DSB. Brann_Statistikk (2016). https://www.dsb.no/menyartikler/statistikk/branner/. [cited 06.09.2016]
  4. 4.
    Norskbrannvernforening. Skadeutbetalinger_etter_branner (2015). http://www.brannvernforeningen.no/index.asp?mal=3&fane=1&id=38636&nl=&menyfane=1
  5. 5.
    Nunavath, V., Radianti, J., Comes, M., Prinz, A.: Visualization of information flows and exchanged information: evidence from an indoor fire game. In: Proceedings of the 12th International Conference on Information Systems for Crisis Response and Management, Kristiansand, Norway, May 2015Google Scholar
  6. 6.
    Comes, T., et al.: Decision maps: a framework for multi-criteria decision support under severe uncertainty. Decis. Support Syst. 52(1), 108–118 (2011)CrossRefGoogle Scholar
  7. 7.
    Comes, T., Vybornova, O., Van de Walle, B.: Bringing structure to the disaster data typhoon: an analysis of decision-makers’ information needs in the response to Haiyan. In: Proceedings of the AAAI Spring Symposium Series (SSS 2015) on Structured Data for Humanitarian Technologies: Perfect Fit or Overkill (2015)Google Scholar
  8. 8.
    Gjørv, A.B.: Evaluation report on the events of 22 July 2011, Oslo (2012)Google Scholar
  9. 9.
    SHT, Rapport om brann i vogntog på E16 i Gudvangatunnelen i Aurland (2015)Google Scholar
  10. 10.
    Li, J., et al.: Community-based collaborative information system for emergency management. Comput. Oper. Res. 42, 116–124 (2014)CrossRefGoogle Scholar
  11. 11.
    Nunavath, V., Prinz, A.: Reference architecture For emergency management operations. In: Nunes, M.B., Isaías, P., Powell, P. (eds.) 8th IADIS International Conference on Information Systems. IADIS, Madeira, Portugal (2015)Google Scholar
  12. 12.
    Ram, G.M., et al.: A road crisis management metamodel for an information decision support system. In: 2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST) (2012)Google Scholar
  13. 13.
    Weick, K.E.: The collapse of sensemaking in organizations: the Mann Gulch disaster. Adm. Sci. Q. 38, 628–652 (1993)CrossRefGoogle Scholar
  14. 14.
    Nunavath, V., et al.: Representing fire emergency response knowledge through a domain modelling approach. In: Norsk konferanse for organisasjoners bruk av IT (2016)Google Scholar
  15. 15.
    Van de Walle, B., Turoff, M.: Decision support for emergency situations. ISeB 6(3), 295–316 (2008)CrossRefGoogle Scholar
  16. 16.
    Meum, T., Munkvold, B.E.: Information infrastructure for crisis response coordination: a study of local emergency management in Norwegian municipalities. In: Fiedrich, F., Comes, T., Fortier, S., Geldermann, J., Müller, T. (eds.) ISCRAM, Baden-Baden, Germany (2013)Google Scholar
  17. 17.
    Beredskap, D.f.s.o., Veiledning til forskrift om organisering og dimensjonering av brann-vesen (2003)Google Scholar
  18. 18.
    NPD, Police emergency preparedness system, Part I. Guidelines for police contingency planning and incident management, ed. A.c.o.p.J. W.kluver and A.c.o.p.J. Starheimsæter. NPD, pp. 1–225. Police Directorate Publication, Norway (2011)Google Scholar
  19. 19.
    Borén, M.: Intertwining paths towards a common goal: Three emergency units side by side. University of Oslo, Oslo (2012)Google Scholar
  20. 20.
    OneVoice. Crisis Incident Management Tool (2016). https://onevoice.no/en/focus/crisis. [cited 06.09.2016]
  21. 21.
    Boden, A., Buscher, M., Zimmermann, M.L.A.: Domain analysis II: User Interfaces and Interaction Design (2013). http://www.sec-bridge.eu, http://www.sec-bridge.eu/content/d02.3_domain_analysis_ii.pdf
  22. 22.
  23. 23.
    DSB, Viktig med gode rutiner for Vision Boss og tidsplaner (2015)Google Scholar
  24. 24.
    ISO/IEC, ISO 9241-210 ergonomics of human-system interaction – part 210: Human-centered design for interactive systems (2010)Google Scholar
  25. 25.
    Nunavath, V., Prinz, A., Comes, T.: Identifying first responders information needs: supporting search and rescue operations for fire emergency response. Int. J. Inf. Syst. Crisis Response Manag. (IJISCRAM) 8(1), 25–46 (2016)CrossRefGoogle Scholar
  26. 26.
    Nunavath, V., Prinz, A.: LifeRescue: a web based application for supporting emergency responders during indoor fire emergency management. In: 3rd International Conference on Information and Communication Technologies for Disaster Management (ICT-DM). IEEE, Vienna (2016)Google Scholar
  27. 27.
    Bertossi, L.: Virtual Data Integration, p. 144 (2003)Google Scholar
  28. 28.
    Mule. Error Handling (2017)Google Scholar
  29. 29.
    Seppänen, H., Virrantaus, K.: Shared situational awareness and information quality in disaster management. Saf. Sci. 77, 112–122 (2015)CrossRefGoogle Scholar
  30. 30.
    Casado, R., et al.: Data interoperability software solution for emergency reaction in the Europe Union. Nat. Hazards Earth Syst. Sci. 15(7), 1563–1576 (2015)CrossRefGoogle Scholar
  31. 31.
    Balogh, Z., et al.: Agent-based integration of rescue systems for first responders. In: Proceedings of the IEEE 10th Jubilee International Symposium on Applied Machine Intelligence and Informatics, SAMI 2012 (2012)Google Scholar
  32. 32.
    Fahland, D., et al.: HUODINI–Flexible information integration for disaster management. In: 4th International Conference on Information Systems for Crisis Response and Management (ISCRAM), Delft, NL (2007)Google Scholar
  33. 33.
    Romanowski, C.J., et al.: Information management and decision support in critical infrastructure emergencies at the local level. In: 2013 IEEE International Conference on Technologies for Homeland Security (HST). IEEE (2013)Google Scholar
  34. 34.
    Ashish, N., et al.: The software EBox: integrated information for situational awareness. In: 2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009 (2009)Google Scholar
  35. 35.
    Kress, J., et al.: Enterprise Service Bus (2013)Google Scholar
  36. 36.
    Mecella, M., et al.: Workpad: an adaptive peer-to-peer software infrastructure for supporting collaborative work of human operators in emergency/disaster scenarios. In: International Symposium on Collaborative Technologies and Systems, CTS 2006. IEEE (2006)Google Scholar
  37. 37.
    Alamdar, F., Kalantari, M., Rajabifard, A.: Towards multi-agency sensor information integration for disaster management. Comput. Environ. Urban Syst. 56, 68–85 (2016)CrossRefGoogle Scholar
  38. 38.
    Lezcano, L., Santos, L., García-Barriocanal, E.: Semantic integration of sensor data and disaster management systems: the emergency archetype approach. Int. J. Distrib. Sens. Netw. 9, 1–11 (2013)CrossRefGoogle Scholar
  39. 39.
    Bakillah, M., et al.: Mapping between dynamic ontologies in support of geospatial data integration for disaster management. In: Li, J., et al. (eds.) Geomatics Solutions for Disaster Management. Lecture Notes in Geoinformation and Cartography, pp. 201–224. Springer, Heidelberg (2007)Google Scholar
  40. 40.
    Vatseva, R., et al.: Applying GIS in seismic hazard assessment and data integration for disaster management. In: Zlatanova, S., et al. (eds.) Intelligent Systems for Crisis Management. Lecture Notes in Geoinformation and Cartography, pp. 171–183. Springer, Heidelberg (2013)Google Scholar
  41. 41.
    Stancalie, G., Craciunescu, V., Irimescu, A.: Spatial Data Integration for Emergency Services of Flood Management. In: Jones, J.A.A., Vardanian, T.G., Hakopian C. (eds.) Threats to Global Water Security. NATO Science for Peace and Security Series C: Environmental Security, pp. 155–165. Springer, Dordrecht (2009)Google Scholar
  42. 42.
    Jiping, L., et al.: Research and prospect on multi-source geospatial data integration for emergency services. In: Cartography Beyond the Ordinary World, p. 163 (2015)Google Scholar
  43. 43.
    Zhinong, Z., et al.: Integration of GIS/RS/GPS for urban fire response. In: 2012 International Conference on Computer Vision in Remote Sensing (CVRS) (2012)Google Scholar
  44. 44.
    Kou, G., et al.: A heterogeneous information integration framework for emergency management. In: Proceedings of the 3rd International Conference on Information Sciences and Interaction Sciences, ICIS 2010 (2010)Google Scholar
  45. 45.
    Raman, M., et al.: Web-based community disaster management and awareness system (CEMAS) in Malaysia. In: Proceedings of the 11th International ISCRAM Conference. University Park, Pennsylvania (2014)Google Scholar
  46. 46.
    Christman, G.J., Fila, B.D.: Civil information integration and interoperability. In: Proceedings of the 4th IEEE Global Humanitarian Technology Conference, GHTC 2014 (2014)Google Scholar
  47. 47.
    Šubik, S., et al.: SPIDER: Enabling interoperable information sharing between public institutions for efficient disaster recovery and response. In: 2010 IEEE International Conference on Technologies for Homeland Security (HST). IEEE (2010)Google Scholar
  48. 48.
  49. 49.
    Apisakmontri, P.: Ontology-based integration of humanitarian aid information for disaster management systems. School of Knowledge Science, p. 135. Japan Advanced Institute of Science and Technology, Japan (2016)Google Scholar
  50. 50.
    Erskine, M.A., Sibona, C., Kalantar, H.: Aggregating, Analyzing, and Diffusing Natural Disaster Information: A Research Framework (2013)Google Scholar
  51. 51.
    Careem, M., et al.: Sahana: overview of a disaster management system. In: 2006 International Conference on Information and Automation (2006)Google Scholar
  52. 52.
    Xchangecore. Data Archestration tool. http://www.xchangecore.org/
  53. 53.
  54. 54.
  55. 55.
  56. 56.
  57. 57.

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.CIEM Research Group, Department of ICTUniversity of AgderGrimstadNorway

Personalised recommendations