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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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References

  1. Diniz, V.B., Borges, M.R., Gomes, J.O., Canós, J.H.: Decision making support in emergency response. In: Encyclopedia of decision making and decision support technologies. pp. 184–191. IGI Global (2008)

    Google Scholar 

  2. Liu, S., Brewster, C., Shaw, D.: Ontologies for crisis management: a review of state of the art in ontology design and usability. In: ISCRAM (2013)

    Google Scholar 

  3. Fan, Z., Zlatanova, S.: Exploring ontologies for semantic interoperability of data in emergency response. Appl. Geomat. 3, 109–122 (2011)

    Article  Google Scholar 

  4. Grimm, S., Abecker, A., Völker, J., Studer, R.: Ontologies and the semantic web. In: Domingue, J., Fensel, D., Hendler, J.A. (eds.) Handbook of Semantic Web Technologies, pp. 507–579. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-540-92913-0_13

    Chapter  Google Scholar 

  5. Haghighi, P.D., Burstein, F., Zaslavsky, A., Arbon, P.: Development and evaluation of ontology for intelligent decision support in medical emergency management for mass gatherings. Decis. Support Syst. 54, 1192–1204 (2013)

    Article  Google Scholar 

  6. Yu, J., Thom, J.A., Tam, A.: Evaluating ontology criteria for requirements in a geographic travel domain. In: Meersman, R., Tari, Z. (eds.) On the Move to Meaningful Internet Systems. LNCS, pp. 1517–1534. Springer, Heidelberg (2005). https://doi.org/10.1007/11575801_36

    Chapter  Google Scholar 

  7. Kontopoulos, E., et al.: Ontology-based representation of crisis management procedures for climate events. In: Boersma, K., Tomaszewski, B. (eds.) ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management, pp. 1064–1073. Rochester Institute of Technology, Rochester (2018)

    Google Scholar 

  8. beAWARE Project Homepage. https://beaware-project.eu/

  9. Bitencourt, K., Durão, F.A., Mendonça, M., Santana, L.L.B.D.S.: An ontological model for fire emergency situations. IEICE Trans. Inf. Syst. 101, 108–115 (2018)

    Article  Google Scholar 

  10. Barros, R., Kislansky, P., Salvador, L., Almeida, R., Breyer, M., Pedraza, L.G.: EDXL-RESCUER ontology: conceptual model for semantic integration. In: ISCRAM (2015)

    Google Scholar 

  11. RESCUER Project Homepage. http://www.rescuer-project.org/

  12. Limbu, M., Wang, D., Kauppinen, T., Ortmann, J.: Management of a crisis (MOAC) vocabulary specification. http://observedchange.com/moac/ns/

  13. Shelter Cluster Homepage. https://www.sheltercluster.org/

  14. UNOCHA Homepage. https://www.unocha.org/

  15. USHAHIDI Homepage. https://www.ushahidi.com/

  16. Babitski, G., Probst, F., Hoffmann, J., Oberle, D.: Ontology design for information integration in disaster management. GI Jahrestag. 154, 3120–3134 (2009)

    Google Scholar 

  17. Bénaben, F., Hanachi, C., Lauras, M., Couget, P., Chapurlat, V.: A metamodel and its ontology to guide crisis characterization and its collaborative management. In: Presented at the Proceedings of the 5th International Conference on Information Systems for Crisis Response and Management (ISCRAM), Washington, DC, USA, May 2008

    Google Scholar 

  18. Holsapple, C.W., Joshi, K.D.: A collaborative approach to ontology design. Commun. ACM 45, 42–47 (2002)

    Article  Google Scholar 

  19. Othman, S.H., Beydoun, G., Sugumaran, V.: Development and validation of a disaster management metamodel (DMM). Inf. Process. Manag. 50, 235–271 (2014). https://doi.org/10.1016/j.ipm.2013.11.001

    Article  Google Scholar 

  20. UN General Assembly: Report of the open-ended intergovernmental expert working group on indicators and terminology relating to disaster risk reduction, p. 41. UN General Assembly, New York, USA (2016)

    Google Scholar 

  21. World Health Organization: ReliefWeb glossary of humanitarian terms (2008)

    Google Scholar 

  22. Blanchard, B.W.: Guide to emergency management and related terms, definitions, concepts, acronyms, organizations, programs, guidance, executive orders and legislation: a tutorial on emergency management, broadly defined, past and present. Federal Emergency Management Agency, USA (2008)

    Google Scholar 

  23. Protégé: A free, open-source ontology editor and framework for building intelligent systems (2013)

    Google Scholar 

  24. McGuinness, D.L., Van Harmelen, F.: OWL web ontology language overview. W3C Recomm. 10 (2004)

    Google Scholar 

  25. Mizoguchi, R., Vanwelkenhuysen, J., Ikeda, M.: Task ontology for reuse of problem solving knowledge. Very Large Knowl. Bases Knowl. Build. Knowl. Shar. 46, 45 (1995)

    Google Scholar 

  26. Gruber, T.R.: Toward principles for the design of ontologies used for knowledge sharing? Int. J. Hum. Comput. Stud. 43, 907–928 (1995). https://doi.org/10.1006/ijhc.1995.1081

    Article  Google Scholar 

  27. Gómez-Pérez, A.: Towards a framework to verify knowledge sharing technology. Expert Syst. Appl. 11, 519–529 (1996)

    Article  Google Scholar 

  28. Mohamed Shaluf, I.: Disaster types. Disaster Prev. Manag. Int. J. 16, 704–717 (2007)

    Article  Google Scholar 

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-28373-5

  • Online ISBN: 978-3-030-28374-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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