Bayesian classification of disaster events on the basis of icon messages of observers
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F15%3A00310221" target="_blank" >RIV/68407700:21260/15:00310221 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Bayesian classification of disaster events on the basis of icon messages of observers
Original language description
During major disaster events, human operators in a crisis center will be overloaded with under-stress a flood of phone calls. As an increasing number of people in and around big cities do not master the native language, the need for automated systems that automatically process the context and content of information about disaster situations from the communicated messages becomes apparent. To support language-independent communication and to reduce the ambiguity and multitude semantics, we developed an icon-based reporting observation system. Contrast to previous approaches of such a system, we link icon messages to disaster events without using Natural Language Processing. We developed a dedicated set of icons related to the context and characteristic features of disaster events. The developed system is able to compute the probability of the appearance of possible disaster events using Bayesian reasoning. In this paper, we present the reporting system, the developed icons, the Bayesian model, and the results of two experiments.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BD - Information theory
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ISCRAM 2015 Conference Proceedings - 12th International Conference on Information Systems for Crisis Response and Management
ISBN
978-82-711-7788-1
ISSN
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e-ISSN
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Number of pages
14
Pages from-to
110-123
Publisher name
Information Systems for Crisis Response and Management
Place of publication
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Event location
AgderKristiansand
Event date
May 25, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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