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Ontology-Based Education Support System for Solving Emergency Incidents

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Computational Collective Intelligence (ICCCI 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9876))

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Abstract

Crisis situations influencing human lives require fast and faultless solutions. Decision making during emergency incidents is burdened with high uncertainty, complexity and risks. These situations can be effectively solved on the basis of complex knowledge that is received during education, training and experience. Non-professional rescuers often have a problem to decide which steps in which order have to be done in case of injured persons. Education of non-professionals is crucial and inevitable because of saving human lives. The main aim of the paper is to present the OWL ontology-based education support prototype using SWRL rules suggesting suitable solutions for particular emergency incident.

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Acknowledgements

The support of the Specific research project at FIM UHK is gratefully acknowledged.

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Authors and Affiliations

  1. Faculty of Informatics and Management, University of Hradec Králové, Hradec Králové, Czech Republic

    Martina Husáková

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  1. Martina Husáková
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Correspondence to Martina Husáková .

Editor information

Editors and Affiliations

  1. Wroclaw University of Technology , Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Aristotle University of Thessaloniki , Thessaloniki, Greece

    Lazaros Iliadis

  3. Department of Forestry and Manageme, Democritus University of Thrace Department of Forestry and Manageme, Orestiada Thrace, Greece

    Yannis Manolopoulos

  4. Wrocław University of Technology , Wrocław, Poland

    Bogdan Trawiński

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Husáková, M. (2016). Ontology-Based Education Support System for Solving Emergency Incidents. In: Nguyen, N., Iliadis, L., Manolopoulos, Y., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2016. Lecture Notes in Computer Science(), vol 9876. Springer, Cham. https://doi.org/10.1007/978-3-319-45246-3_30

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  • DOI: https://doi.org/10.1007/978-3-319-45246-3_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45245-6

  • Online ISBN: 978-3-319-45246-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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