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Ambient Intelligence for Decision Making in Fire Service Organizations

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Ambient Intelligence (AmI 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4794))

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Abstract

This paper describes the results of the European Project AMIRA (Advanced Multimodal Intelligence for Remote Assistance) which deals with the support of emergency services (in particular fire services) by Ambient Intelligence. We address the problem of mobile decision support by providing mobile multi-modal access to mission-critical knowledge from different heterogeneous knowledge sources. For this purpose, we analyzed the requirements of fire service organizations as part of a socio-technical study. Further, the AMIRA system was designed based on methods from Artificial Intelligence. It implements domain specific search strategies to identify decision relevant knowledge from available knowledge sources. The developed system has been implemented as prototype and successfully evaluated in a comprehensive evaluation based on user trials.

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Author information

Authors and Affiliations

  1. University of Trier, Department of Business Information Systems II, 54286 Trier, Germany

    Ralph Bergmann

Authors
  1. Ralph Bergmann
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Editor information

Bernt Schiele Anind K. Dey Hans Gellersen Boris de Ruyter Manfred Tscheligi Reiner Wichert Emile Aarts Alejandro Buchmann

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© 2007 Springer-Verlag Berlin Heidelberg

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Bergmann, R. (2007). Ambient Intelligence for Decision Making in Fire Service Organizations. In: Schiele, B., et al. Ambient Intelligence. AmI 2007. Lecture Notes in Computer Science, vol 4794. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76652-0_5

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  • DOI: https://doi.org/10.1007/978-3-540-76652-0_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76651-3

  • Online ISBN: 978-3-540-76652-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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