Controlling and Monitoring Crisis

  • Nuria García-Santa
  • Esteban García-Cuesta
  • Boris Villazón-Terrazas
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9341)


Nowadays there is an increase interest on using social media contents for detecting and help during natural disasters. That interest is mainly based on the successful use of this type of data in the different phases of a disaster management process which ranges from early detection to efficient communication during the management of disasters. This paper focuses on the first phases of disasters’ management and presents a system that allows to analyze, enrich, and detect on real time needs from a set of web sources. By using the concept of crowd as a sensors, this application can help, jointly with other traditional systems, to improve the current applied procedures during the initial phases of the disaster and detect demanded needs.


Disaster management Social media Emergency assistance Crowdsourcing 



This work was supported by X-Like project (ICT-288342-STREP) and Spanish CrowdCrisisControl project (IPT-2012-0968-390000).


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Copyright information

© Springer International Publishing Switzerland 2015

Open Access This chapter is distributed under the terms of the Creative Commons Attribution Noncommercial License, which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

Authors and Affiliations

  • Nuria García-Santa
    • 1
  • Esteban García-Cuesta
    • 2
  • Boris Villazón-Terrazas
    • 1
  1. 1.Expert System IberiaMadridSpain
  2. 2.Universidad Europea de MadridMadridSpain

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