Abstract
Emergency response is an important task in geologic hazard emergency management in China. Rapid emergency response actions can effectively reduce the losses caused by geologic hazards. Emergency plans and emergency command systems play an important role in emergency response. The emergency response still comes with challenges, such as the difficulty of integrating emergency plans with real-time geologic hazard information and the operability of emergency disposal in emergency plans. One possible approach to solving this problem is to model and represent knowledge and to enable the emergency command system to acquire and intelligently provide the required emergency response knowledge. In this paper, we propose a conceptual model of knowledge for geologic hazard emergency response (GHER). The geospatial characteristics of GHER knowledge are represented by the geo-ontology in the modeling process. The ontology enables semantic interoperability of GHER knowledge. A case study is used as an application test to evaluate the framework of GHER knowledge acquisition. In the framework, the GHER knowledge model enables the emergency command system to provide imperative knowledge intelligently for emergency decision-making; knowledge inference enables the emergency command system to provide important implicit knowledge for emergency response; and spatial analysis of geographic information system is applied to visualize and analyze spatial data in the process of emergency response.
This is a preview of subscription content, access via your institution.













References
Abdelmoty AI, Smart PD, Jones CB, Fu G, Finch D (2005) A critical evaluation of ontology languages for geographic information retrieval on the Internet. J Vis Lang Comput 16(4):331–358
Bakillah M, Mostafavi MA, Brodeur J, Bédard Y (2007) Mapping between dynamic ontologies in support of geospatial data integration for disaster management. In: Geomatics solutions for disaster management, Berlin, Heidelberg, pp 201–224
Hoogendoorn M, Jonker CM, Popova V, Sharpanskykh A, Xu L (2005) Formal modelling and comparing of disaster plans. In: Proceedings of the 2nd international ISCRAM conference, Brussels, Belgium
Horrocks I, Patel-Schneider PF, Boley H, Tabet S, Grosof B, Dean M (2004) SWRL: a semantic web rule language combining OWL and RuleML. http://www.w3.org/Submission/SWRL/. Accessed 12 Jan 2016
Huang MJ, Du QY, Du XC (2005) Formal representation of spatial properties of geographic ontology. Geomat Inf Sci Wuhan Univ 30(4):337–340
Huang L, Luo XG, Huang YX, Cui Y, Zhang GP (2012a) Design and realization of emergency command information system for geological disaster. Sci Technol Manag Land Resour 29(6):141–145
Huang YQ, Cui WH, Zhang YJ, Deng GY (2012b) Research on development of agricultural geographic information ontology. J Integr Agric 11(5):865–877
Husain MF, Al-Khateeb T, Alam M, Khan L (2011) Ontology based policy interoperability in geo-spatial domain. Comput Stand Interfaces 33(3):214–219
Jung CT, Sun CH, Yuan M (2013) An ontology-enabled framework for a geospatial problem-solving environment. Comput Environ Urban Syst 38:45–57
Kuba M (2012) OWL 2 and SWRL Tutorial. http://dior.ics.muni.cz/~makub/owl/. Accessed 26 Jan 2014
Lagoze C, Hunter J (2001) The ABC ontology and model. J Digit Inf 2(2):478–496
Lee J, Jeong Y, Oh YS, Lee JC, Ahn N, Lee J, Yoon SH (2013) An integrated approach to intelligent urban facilities management for real-time emergency response. Autom Constr 30:256–264
Li H (2008) Research on ontology-based emergency domain knowledge expression and reuse. Dissertation, Tianjin University
Li HC, Deng YF, Liu YJ (2006) Formal description of emergency plans. J Saf Sci Technol 2(4):29–34
Li L, Liu Y, Zhu HH, Ying S, Luo QY, Luo H, Kuai X, Xia H, Shen H (2017) A bibliometric and visual analysis of global geo-ontology research. Comput Geosci 99:1–8
Liao SY, Jiang HB (2009) Discussion on management of emergency plan for paroxysmal geological hazards. Chin J Geol Hazard Control 20(4):109–112
Lucas C (2012) Multi-criteria modelling and clustering of spatial information. Int J Geogr Inf Sci 10(26):1–19
Morten K, Toftdahl NE, Margit K (2006) Challenges in designing interactive systems for emergency response. University Park, PA, USA
Ni ZJ, Rong LL, Qie ZJ (2015) A formal model of contingency disaster plans for emergency responders. J Syst Manag 24(5):644–652
Studer R, Benjamins VR, Fensel D (1998) Knowledge engineering: Principles and methods. Data Knowl Eng 25(1/2):161–197
Tambassi T (2019) What kind of ontological categories for geo-ontologies? Acta Anal 34(2):135–144
Tang P (2011) Methods and technologies for developing emergency action plan based on HTN planning. Dissertation, Huazhong University of Science and Technology
Ter Mors A, Valk J, Witteveen C (2005) An event-based task framework for disaster planning and decision support. In: Proceedings of the second international ISCRAM conference, Brussels, Belgium
The Apache Software Foundation (2019) Getting started with Apache Jena. https://jena.apache.org/getting_started/index.html. Accessed 16 June 2019
Tong Z (2011) Research on emergency plan business process modeling analysis based on colored petri nets. Dissertation, Nanjing University of Posts and Telecommunications
Wang XH (2012) Research on inquiry and reasoning based on ontology and their applications in the military area. Dissertation, Chongqing University
Wang WJ, Guo W, Luo YW, Wang XL, Xu ZQ (2005) The study and application of crime emergency ontology event model. In: Khosla R, Howlett RJ, Jain LC (eds) Knowledge-based intelligent information and engineering systems. Springer, New York, pp 806–812
Wang WJ, Meng FK, Wang YL, Luo YW, Xu ZQ (2006) Research on ontology-based emergency response plan template. Comput Eng 19(32):170–172
Wang H, Yang X, Wang J, Li L (2011) Research on Ontology-Based knowledge presentation and reasoning in civil aviation emergency decision. Comput Eng Sci 33(4):129–133
Wei YY (2011) Research of ontology-based agricultural knowledge modeling and reasoning. Dissertation, University of Science and Technology of China
Wen L (2008) The study of ontology for knowledge model based on emergency decision-making. Dissertation, DaLian University of Technology
Wu JA, Wu XL, Sun BY (2012) Formal representation of natural disaster emergency plan. Comput Syst Appl 21(9):133-136+26
Xiao J (2009) Theory and practice of the treatment of vital landslide hazard. Dissertation, Chengdu University of Technology
Xiao JH, Wang YS, Che S, Xiao Q (2014) Application of geographic ontology on basic geographic information fusion. J Geomat Sci Technol 31(3):326–330
Xu JH, Nyerges TL, Nie GZ (2014) Modeling and representation for earthquake emergency response knowledge: Perspective for working with geo-ontology. Int J Geogr Inf Sci 28(1):185–205
Zhang H, Wang BJ (2004) 4 National emergency plan for sudden geological disasters. In: Zhang H, Wang BJ (eds) Chronicle of disasters in China. Seismological Press, Beijing, pp 297–303
Zhang CR, Zhao T, Anselin L, Li WD, Chen K (2015) A Map-Reduce based parallel approach for improving query performance in a geospatial semantic web for disaster response. Earth Sci Inf 8(3):499–509
Zhong SB, Fang ZX, Zhu M, Huang QY (2017) A geo-ontology-based approach to decision-making in emergency management of meteorological disasters. Nat Hazards 89:531–554
Acknowledgements
The authors would like to express their appreciation to the editor and the referees for their comments and suggestions that greatly improved the manuscript. And the authors would like to thank the support of Shandong Provincial Natural Science Foundation, China (Grant No. ZR2016DQ06), Science and Technology Project of Institutions of Higher Education of Shandong Province of China (Grant No. J16LH05), Doctor Research Foundation of Shandong Jianzhu University (Grant No. XNBS1404), and the Housing and Construction Department Science-Technology Program of Shandong Province of China (Grant No. 2018-K8-02).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflicts of interest
The authors declare no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Liu, X., Liu, Z., Liu, Y. et al. Integration of a geo-ontology-based knowledge model and spatial analysis into emergency response for geologic hazards. Nat Hazards 108, 1489–1514 (2021). https://doi.org/10.1007/s11069-021-04742-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11069-021-04742-5
Keywords
- Geologic hazard emergency response
- Knowledge modeling
- Knowledge inference
- Spatial analysis
- Emergency plan