Skip to main content
SpringerLink
Log in

On Integrating Social and Sensor Networks for Emergency Management

  • Conference paper
  • First Online:
Software Engineering and Formal Methods (SEFM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 9509))

Included in the following conference series:

Abstract

The 2010 earthquake in Haiti is often referred to as the turning point that changed the way social media can be used during disasters. The development of strategies, technologies and tools to enhance user collaboration around disasters has become an emergent field, and their integration with appropriate sensor networks presents itself as an effective solution to drive decision making in emergency management.

In this paper, we present a review of existing disaster management systems and their underlying strategies and technologies, and identify the limitations of the tools in which they are implemented. We then propose an architecture for disaster management that integrates the mining of social networks and the use of sensor networks as two complementary technologies to overcome the limitations of the current emergency management tools.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. http://audio.weei.com/

  2. http://gridbus.csse.unimelb.edu.au/sensorweb/

  3. http://msn.foxsports.com/topics/

  4. http://sweet.jpl.nasa.gov/

  5. https://www-secure.ifrc.org/dmisii/

  6. http://www.disaster.qld.gov.au/

  7. http://www.gdin.org/

  8. http://www.ogcnetwork.net/swe

  9. http://www.opengeospatial.org/

  10. http://www.preventionweb.net/english/hyogo

  11. http://www.qgis.org/

  12. http://www.un-spider.org/event/6485/2013-05-01/disaster-management

  13. http://www.undp.org.ir/drm/en/national_disaster_portal.asp

  14. http://www.w3.org/tr/rdf-sparql-query/

  15. Alexander, K.: RDF in JSON: a specification for serialising RDF in JSON. In: SFSW (2008)

    Google Scholar 

  16. Amdahl, G.: Disaster Response: GIS for Public Safety. ESRI, Redlands (2002)

    Google Scholar 

  17. M.O.D. APIs and W. Services. http://developer.mapquest.com/web/products/open

  18. Babitski, G., Bergweiler, S., Hoffmann, J., Schön, D., Stasch, C., Walkowski, A.C.: Ontology-based integration of sensor web services in disaster management. In: Janowicz, K., Raubal, M., Levashkin, S. (eds.) GeoS 2009. LNCS, vol. 5892, pp. 103–121. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  19. Bahrepour, M., Meratnia, N., Havinga, P.: Use of AI techniques for residential fire detection in wireless sensor networks. In: Artificial Intelligence Applications and Innovations (AIAI), vol. 475, Greece, July 2009

    Google Scholar 

  20. Becker, H., Naaman, M., Gravano, L.: Selecting quality Twitter content for events. In: Proceedings of the International Conference on Weblogs and Social Media (ICWSM), Barcelona, Spain, July 2011

    Google Scholar 

  21. Berson, A., Smith, S.J.: Data Warehousing, Data Mining, and OLAP, 1st edn. McGraw-Hill Inc, New York (1997)

    Google Scholar 

  22. Careem, M., De Silva, C., De Silva, R., Raschid, L., Weerawarana, S.: Sahana: overview of a disaster management system. In: International Conference on Information and Automation (ICIA), Colombo, Sri Lanka, December 2006

    Google Scholar 

  23. Castillo, C., Mendoza, M., Poblete, B.: Information credibility on twitter. In: International World Wide Web Conference, Hydeabad, India, March-April 2011

    Google Scholar 

  24. Chaudhuri, S., Dayal, U.: An overview of data warehousing and OLAP technology. SIGMOD Rec. 26(1), 65–74 (1997)

    Article  Google Scholar 

  25. Chow, C.-Y., Bao, J., Mokbel, M.F.: Towards location-based social networking services. In: Proceedings of the ACM SIGSPATIAL International Workshop on Location Based Social Networks, San Jose, California (2012)

    Google Scholar 

  26. Coppola, D.P.: Introduction to International Disaster Management. Butterworth-Heinemann, Burlington (2011)

    Google Scholar 

  27. Cunningham, H., Maynard, D., Bontcheva, K., Tablan, V.: GATE: a framework and graphical development environment for robust NLP tools and applications. In: Proceedings of the Annual Meeting of the Association for Computational Linguistics, Philadelphia, PA, USA (2002)

    Google Scholar 

  28. Cutter, S.L.: GI science, disasters, and emergency management. Trans. GIS 7(4), 439–446 (2003)

    Article  Google Scholar 

  29. Dalal, N., Triggs, B., Schmid, C.: Human detection using oriented histograms of flow and appearance. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3952, pp. 428–441. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  30. Donohue, K.: Using GIS for all-hazard emergency management (2002)

    Google Scholar 

  31. Farber, J., Myers, T., Trevathan, J., Atkinson, I., Andersen. T.: Riskr: a low-technological Web 2.0 disaster service to monitor and share information. In: International Conference on Network-Based Information Systems (NBiS), Melbourne, Australia, September 2012

    Google Scholar 

  32. Fawzy, D., Sahin, Y.: RT-HRLE: a system design for real-time hazards reporting and loss estimation using wireless sensors. In: International Conference on Education and Management Technology (ICEMT), Cairo, Egypt, November 2010

    Google Scholar 

  33. General Architecture for Text Engineering. http://gate.ac.uk/

  34. Greer, M., Ngo, J.: Personal emergency preparedness plan (PEPP) facebook app: using cloud computing, mobile technology, and social networking services to decompress traditional channels of communication during emergencies and disasters. In: IEEE International Conference on Services Computing (SCC), Hawaii, June 2012

    Google Scholar 

  35. Gunes, A., Kovel, J.: Using GIS in emergency management operations. J. Urban Plan. Dev. 126(3), 136–149 (2000)

    Article  Google Scholar 

  36. Jafarpour, H., Lickfett, J., Kim, K., Xing, B.: A policy driven meta-alert system for crisis communications. In: Incident, Resources, and Supply Chain Managemernt, DHS Workshop on Emergency Management (2009)

    Google Scholar 

  37. Jiang, Y.-G., Yang, J., Ngo, C.-W., Hauptmann, A.G.: Representations of keypoint-based semantic concept detection: a comprehensive study. IEEE Trans. Multimedia 12(1), 42–53 (2010)

    Article  Google Scholar 

  38. Kongthon, A., Haruechaiyasak, C., Pailai, J., Kongyoung, S.: The role of Twitter during a natural disaster: case study of 2011 Thai flood. In: Proceedings of Technology Management for Emerging Technologies (PICMET), Vancouver, Canada, July-August 2012

    Google Scholar 

  39. Lazebnik, S., Schmid, C., Ponce, J.: Beyond bags of features: spatial pyramid matching for recognizing natural scene categories. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Washington, DC, June 2006

    Google Scholar 

  40. Liu, J., Luo, J., Shah, M.: Recognizing realistic actions from videos in the wild. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Miami, November 2009

    Google Scholar 

  41. Liu, L., Webster, D., Xu, J., Wu, K.: Enabling dynamic workflow for disaster monitoring and relief through service-oriented sensor networks. In: International ICST Conference on Communications and Networking in China (CHINACOM), Beijing, China, August 2010

    Google Scholar 

  42. Luo, X., Dong, M., Huang, Y.: On distributed fault-tolerant detection in wireless sensor networks. IEEE Trans. Comput. 55(1), 58–70 (2006)

    Article  Google Scholar 

  43. Majumdar, K., Majumder, D.: Fuzzy differential inclusions in atmospheric and medical cybernetics. IEEE Trans. Syst. Man Cybern. Part B Cybern. 34(2), 877–887 (2004)

    Article  Google Scholar 

  44. McGinley, M., Turk, A., Benet, D.: Design criteria for public emergency warning systems. In: 3rd International ISCRAM Conference, Newark, USA, May 2006

    Google Scholar 

  45. Nguyen, T.-M., Koshikawa, K., Kawamura, T., Tahara, Y., Ohsuga, A.: Building earthquake semantic network by mining human activity from Twitter. In: IEEE International Conference on Granular Computing (GrC), Kaohsiung, Taiwan, November 2011

    Google Scholar 

  46. Oreilly, T.: What is Web 2.0: design patterns and business models for the next generation of software. Commun. Strat. 65, 17 (2007)

    Google Scholar 

  47. Pareta, K., Pareta, U.: Developing a national database framework for natural disaster risk management. In: Proceedings in ESRI International User Conference, San Diego, California (2011)

    Google Scholar 

  48. Radke, J., Cova, T., Sheridan, M.F., Troy, A., Mu, L., Johnson, R.: Challenges for GIS in emergency preparedness and response. An ESRI white paper, May 2000

    Google Scholar 

  49. Sakaki, T., Okazaki, M., Matsuo, Y.: Tweet analysis for real-time event detection and earthquake reporting system development. IEEE Trans. Knowl. Data Eng. 25(4), 919–931 (2013)

    Article  Google Scholar 

  50. Shams, F., Capodieci, P., Cerone, A., Fantacci, R., Marabissi, D., Mariotta, G., Sciuto, P., De Nicola, R.: Integration of heterogeneous information sources for an effective emergency management. Int. J. Emergency Manage. (2015, in press)

    Google Scholar 

  51. Tseng, Y.-C., Kuo, S.-P., Lee, H.-W., Huang, C.-F.: Location tracking in a wireless sensor network by mobile agents and its data fusion strategies. In: Zhao, F., Guibas, L.J. (eds.) IPSN 2003. LNCS, vol. 2634, pp. 625–641. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  52. G.G. Tutorial. http://gate.ac.uk/sale/thakker-jape-tutorial/gate

  53. Westerman, D., Spence, P.R., Heide, B.V.D.: A social network as information: The effect of system generated reports of connectedness on credibility on Twitter. Comput. Hum. Behav. 28(1), 199–206 (2012)

    Article  Google Scholar 

  54. What is C4I? http://www.c4i.org/whatisc4i.html

  55. Xue, W., Luo, Q., Chen, L., Liu, Y.: Contour map matching for event detection in sensor networks. In: International Conference on Management of Data (COMAD), Chicago, IL, December 2006

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. IMT Institute for Advanced Studies, Lucca, Italy

    Farshad Shams, Antonio Cerone & Rocco De Nicola

Authors
  1. Farshad Shams
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Antonio Cerone
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Rocco De Nicola
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Antonio Cerone .

Editor information

Editors and Affiliations

  1. Interdisciplinary Centre for ICT Se, University of Luxembourg (UL)., Luxembourg

    Domenico Bianculli

  2. University of York, York, United Kingdom

    Radu Calinescu

  3. LS Software Engineering, RWTH Aachen Universität, Aachen, Nordrhein-Westfalen, Germany

    Bernhard Rumpe

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Shams, F., Cerone, A., De Nicola, R. (2015). On Integrating Social and Sensor Networks for Emergency Management. In: Bianculli, D., Calinescu, R., Rumpe, B. (eds) Software Engineering and Formal Methods. SEFM 2015. Lecture Notes in Computer Science(), vol 9509. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49224-6_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-49224-6_13

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49223-9

  • Online ISBN: 978-3-662-49224-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation