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Knowledge model for emergency response based on contingency planning system of China

Author

Listed:
  • Ni, Zi-jian
  • Rong, Lili
  • Wang, Ning
  • Cao, Shuo

Abstract

China is severely exposed to natural hazards. Currently, there are more than 5.5 million contingency plans for handling various incidents. Similar to those produced in other counties, the paper-based plans in China are limited in that emergency responders cannot easily extract helpful information for them. In this paper, a knowledge-based system will be proposed for providing different stakeholders with helpful information in the emergency response. The conceptual model is the core for the whole system, which can link plans in the physical world and the ontology in the cyber world.

Suggested Citation

  • Ni, Zi-jian & Rong, Lili & Wang, Ning & Cao, Shuo, 2019. "Knowledge model for emergency response based on contingency planning system of China," International Journal of Information Management, Elsevier, vol. 46(C), pages 10-22.
  • Handle: RePEc:eee:ininma:v:46:y:2019:i:c:p:10-22
    DOI: 10.1016/j.ijinfomgt.2018.10.021
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    References listed on IDEAS

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    1. Yates, Dave & Paquette, Scott, 2011. "Emergency knowledge management and social media technologies: A case study of the 2010 Haitian earthquake," International Journal of Information Management, Elsevier, vol. 31(1), pages 6-13.
    2. Nezih Altay & Raktim Pal, 2014. "Information Diffusion among Agents: Implications for Humanitarian Operations," Production and Operations Management, Production and Operations Management Society, vol. 23(6), pages 1015-1027, June.
    3. Wang, Youying & Huang, Qian & Davison, Robert M. & Yang, Feng, 2018. "Effect of transactive memory systems on team performance mediated by knowledge transfer," International Journal of Information Management, Elsevier, vol. 41(C), pages 65-79.
    4. Li, Lifang & Zhang, Qingpeng & Tian, Jun & Wang, Haolin, 2018. "Characterizing information propagation patterns in emergencies: A case study with Yiliang Earthquake," International Journal of Information Management, Elsevier, vol. 38(1), pages 34-41.
    5. Hwang, Yujong & Lin, Hui & Shin, Donghee, 2018. "Knowledge system commitment and knowledge sharing intention: The role of personal information management motivation," International Journal of Information Management, Elsevier, vol. 39(C), pages 220-227.
    6. Dotsika, Fefie, 2010. "Semantic APIs: Scaling up towards the Semantic Web," International Journal of Information Management, Elsevier, vol. 30(4), pages 335-342.
    7. Bimba, Andrew Thomas & Idris, Norisma & Al-Hunaiyyan, Ahmed & Mahmud, Rohana Binti & Abdelaziz, Ahmed & Khan, Suleman & Chang, Victor, 2016. "Towards knowledge modeling and manipulation technologies: A survey," International Journal of Information Management, Elsevier, vol. 36(6), pages 857-871.
    8. Simon, Tomer & Goldberg, Avishay & Adini, Bruria, 2015. "Socializing in emergencies—A review of the use of social media in emergency situations," International Journal of Information Management, Elsevier, vol. 35(5), pages 609-619.
    9. Sutanto, Juliana & Liu, Yi & Grigore, Mihai & Lemmik, Rivo, 2018. "Does knowledge retrieval improves work efficiency? An investigation under multiple systems use," International Journal of Information Management, Elsevier, vol. 40(C), pages 42-53.
    10. Serna M., Edgar & Serna A., Alexei, 2014. "Ontology for knowledge management in software maintenance," International Journal of Information Management, Elsevier, vol. 34(5), pages 704-710.
    11. Ragini, J. Rexiline & Anand, P.M. Rubesh & Bhaskar, Vidhyacharan, 2018. "Big data analytics for disaster response and recovery through sentiment analysis," International Journal of Information Management, Elsevier, vol. 42(C), pages 13-24.
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