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A Framework for Decision-Centred Visualisation in Civil Crisis Management

  • Natalia Andrienko
  • Gennady Andrienko
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)

Abstract

This paper describes a framework for intelligent visualisation to be applied in emergency situations for supporting the crisis management personnel and for informing and instructing the population. The research and development work on this topic is being done within OASIS — an Integrated Project focused on the Crisis Management part of the programme “improving risk management” of IST (IST-2003-004677, see http://www.oasis-fp6.org/). Conducted over 48 months (started in September 2004), OASIS aims at defining a generic crisis management system to support the response and rescue operations in case of large-scale disasters. The project is coordinated by EADS (France). The work on intelligent visualisation is a part of the subproject dedicated to applied research and development of innovative tools for advanced decision support in emergency situations [1].

Intelligent visualisation that supports decision making in emergency situations can be viewed as an instantiation of the concept of decision-centred visualisation (DCV), which has been introduced in mid-nineties in the context of US military contracts. Essentially, DCV means the usage of problem-oriented domain knowledge for intelligent data search, processing, analysis, and visualisation in time-critical applications [2]. An ultimate goal of DCV is to optimize the overall decision-making process and improve the quality of decisions on the basis of intelligent visualisation and related scientific disciplines and technologies. DCV is usually applied in conflict domains such as military mission planning, counter-terror intelligence etc. DCV is used in these areas as a core component of modern control rooms. Public sources point to significant investments to the DCV development [3].

Within OASIS, we are going to apply, adapt, and extend the DCV concept to the tasks arising in civil protection and crisis management. In particular, intelligent visualisation is planned to be used not only for supporting decision makers in control rooms but also for alerting, informing, and instructing the on-site personnel, the population at risk, and the general public (through mass media).

Keywords

Emergency Situation Emergency Management Crisis Management Domain Ontology Information Item 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Natalia Andrienko
    • 1
  • Gennady Andrienko
    • 1
  1. 1.Fraunhofer Institute AIS Schloss BirlinghovenSankt AugustinGermany

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