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Mashups for the Emergency Management Domain

  • Axel Schulz
  • Heiko Paulheim

Abstract

Emergency management applications support a command staff in disruptive disaster situations, such as earthquakes, large-scale floodings or fires. One crucial requirement to emergency management systems is to provide decision makers with the relevant information to support their decisions. Mashups can help here by providing flexible and easily understandable views on up-to-date information. In this chapter, we introduce a number of mashups from the domain of emergency management. An in-depth study of the mashup MICI shows how mashups can combine valuable information for ranking and filtering emergency calls to cope with information shortage and overload. We further discuss the use of Linked Open Data both as a source of additional information and a means for more intelligent filtering.

Keywords

Emergency Management Sentiment Analysis Link Open Data Soft Sensor Rule Engine 
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 2013

Authors and Affiliations

  1. 1.SAP ResearchDarmstadtGermany
  2. 2.Telecooperation GroupTechnische Universität DarmstadtDarmstadtGermany
  3. 3.Research Group Data and Web ScienceUniversität MannheimMannheimGermany

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