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Mashups for the Emergency Management Domain

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Semantic Mashups

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.

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Notes

  1. 1.

    Twitris is available on http://twitris.knoesis.org.

  2. 2.

    http://purl.oclc.org/NET/ssnx/ssn.

  3. 3.

    http://www.geonames.org/.

  4. 4.

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

  5. 5.

    http://pipes.deri.org/.

  6. 6.

    http://wis.ewi.tudelft.nl/twitcident/.

  7. 7.

    http://en.wikipedia.org/wiki/P2000_(network).

  8. 8.

    https://dev.twitter.com/docs/streaming-apis.

  9. 9.

    https://developers.google.com/translate/.

  10. 10.

    http://www.opencalais.com/.

  11. 11.

    http://www.alchemyapi.com/.

  12. 12.

    http://www.zemanta.com.

  13. 13.

    http://www.hudhdx.info/.

  14. 14.

    http://www.weatherflow.com/.

  15. 15.

    http://www.usgs.gov/.

  16. 16.

    http://www.emsc-csem.org/Earthquake/.

  17. 17.

    http://geofon.gfz-potsdam.de/eqinfo/eqinfo.php.

  18. 18.

    http://www.promedmail.org/.

  19. 19.

    http://apps.who.int/ghodata/.

  20. 20.

    http://www.fao.org/corp/statistics/en/.

  21. 21.

    http://www.cdc.gov/DataStatistics/.

  22. 22.

    http://www.hse.gov.uk/events/index.htm.

  23. 23.

    http://www.latimes.com/news/local/la-me-la-fire-map-html,0,7464337.Htmlstory/.

  24. 24.

    http://www.aus-emaps.com/fires.php.

  25. 25.

    http://bushfireconnect.org/.

  26. 26.

    http://pakreport.org/flood2010/.

  27. 27.

    http://kohanaframework.org/.

  28. 28.

    http://data.seattle.gov/Public-Safety/Seattle-Real-Time-Fire-911-Calls/kzjm-xkqj.

  29. 29.

    http://www.w3.org/TR/rdf-sparql-query/.

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Author information

Authors and Affiliations

  1. SAP Research, Darmstadt, Germany

    Axel Schulz

  2. Telecooperation Group, Technische Universität Darmstadt, Darmstadt, Germany

    Axel Schulz

  3. Research Group Data and Web Science, Universität Mannheim, B6, 26, 68159, Mannheim, Germany

    Heiko Paulheim

Authors
  1. Axel Schulz
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  2. Heiko Paulheim
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Correspondence to Axel Schulz .

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  1. Expo Plaza 12, Hannover, 30539, Niedersachsen, Germany

    Brigitte Endres-Niggemeyer

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Schulz, A., Paulheim, H. (2013). Mashups for the Emergency Management Domain. In: Endres-Niggemeyer, B. (eds) Semantic Mashups. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36403-7_8

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  • DOI: https://doi.org/10.1007/978-3-642-36403-7_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36402-0

  • Online ISBN: 978-3-642-36403-7

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