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Distributed Data and Information Management for Crisis Forecasting and Management

  • Barbara Essendorfer
  • Jennifer SanderEmail author
  • Marian Sorin Nistor
  • Almuth Hoffmann
  • Stefan Pickl
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1026)

Abstract

Crises forecasting and management require different kinds of information (management) processes. In this publication, we give an introduction into Coalition Shared Data (CSD), which is a concept of standardized information distribution, and describe means for its integration into a more comprehensive high level system architecture. Our publication intends to stimulate the potential use of the respective findings in the field of crisis prediction and management. To this aim, we put also particular emphasis on visual analytics approaches for integrating automated data analyses and interactive data visualizations to offer more insights into complex data and information.

Keywords

Distributed data and information management Coalition Shared Data (CSD) Interoperability Crisis forecasting and management System architectures Visual analytics Content awareness Situation awareness 

Notes

Acknowledgment

The CSD concept is part of multinational projects that were funded by the BMVg (Federal Ministry of Defence).

The authors would like to thank their colleagues, who have contributed to parts of the work presented in this paper, especially Dr. Maximilian Moll and Achim Kuwertz.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Barbara Essendorfer
    • 1
  • Jennifer Sander
    • 1
    Email author
  • Marian Sorin Nistor
    • 2
  • Almuth Hoffmann
    • 1
  • Stefan Pickl
    • 2
  1. 1.Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSBKarlsruheGermany
  2. 2.Universität der Bundeswehr MünchenNeubibergGermany

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