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Ontology-Based Representation of Crisis Response Situations

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Computational Collective Intelligence (ICCCI 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11684))

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Abstract

Crisis situations are highlighted by the involvement of various emergency response organizations aiming at saving lives and reducing crisis impacts. However, this variety makes communication and information sharing challenges rise. The use of semantic Web technologies has been recognized as a suitable solution to address these challenges. This paper proposes an ontology-based representation of crisis situations providing a unified and sharable knowledge base between crisis response stakeholders. The developed ontology, named CROnto (Crisis Response Ontology), merges three pertinent aspects of the domain of crisis response. First, crisis features which represents crisis characteristics. Second, crisis effects which describes the various impacts that could be engendered by a disaster. Third, crisis response which represents strategic response plans. For the purpose of evaluating CROnto ontology, we adopt criteria-based evaluation approach.

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Author information

Authors and Affiliations

  1. National School of Computer Sciences, RIADI Laboratory, University of Manouba, 2010, Manouba, Tunisia

    Walid Bannour, Ahmed Maalel & Henda Hajjami Ben Ghezala

  2. Higher Institute of Applied Science and Technology, University of Sousse, 4003, Sousse, Tunisia

    Ahmed Maalel

Authors
  1. Walid Bannour
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  2. Ahmed Maalel
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  3. Henda Hajjami Ben Ghezala
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Corresponding author

Correspondence to Walid Bannour .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. University of Pau and Pays de l'Adour, Pau, France

    Richard Chbeir

  3. University of Pau and Pays de l'Adour, Pau, France

    Ernesto Exposito

  4. University of Pau and Pays de l'Adour, Pau, France

    Philippe Aniorté

  5. Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

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Bannour, W., Maalel, A., Ben Ghezala, H.H. (2019). Ontology-Based Representation of Crisis Response Situations. In: Nguyen, N., Chbeir, R., Exposito, E., Aniorté, P., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2019. Lecture Notes in Computer Science(), vol 11684. Springer, Cham. https://doi.org/10.1007/978-3-030-28374-2_36

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  • DOI: https://doi.org/10.1007/978-3-030-28374-2_36

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  • Online ISBN: 978-3-030-28374-2

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