Ambient Intelligence for Decision Making in Fire Service Organizations
Identifieur interne : 000068 ( LNCS/Analysis ); précédent : 000067; suivant : 000069Ambient Intelligence for Decision Making in Fire Service Organizations
Auteurs : Ralph Bergmann (informaticien) [Allemagne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2007.
Abstract
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.
Url:
DOI: 10.1007/978-3-540-76652-0_5
Affiliations:
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ISTEX:554312807874499BBAD995346155948C8816A76DLe document en format XML
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