Abstract
An increasing number of disasters, of natural and anthropogenic origin, enhance the importance of the current role played by disaster management (DM) decision support systems regarding the actions at the different phases of the DM cycle. Disaster management is known for the heterogeneity of domain’s concepts, the kind of resources deployed for disaster response, and the complexity of the information that needs to be shared among the several organizations participating in a catastrophe scenario. The adoption of common ontologies enables information sharing among them. An exploratory systematic review of ontologies was developed to collect references of already proposed ontologies for the realm of DM, and to identify underexplored topics, and research gaps, which may hamper the semantic alignment of DM decision support systems. Further to this, the goal of the study is to envision a potential evolution of DM decision support systems toward better decision-making processes along the DM cycle, specifically, concerning the synergistic role toward interoperability and collaboration of fusing data and automatically extracting information from the several available distributed sources using Ontologies and Linked Open Data as tools.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
BFO. Basic formal ontology, http://basic-formal-ontology.org/. Last accessed 28 Feb 2022.
Bizer, C., Heath, T., & Berners-Lee, T. (2009). Linked data – The story so far. The International Journal on Semantic Web and Information Systems, 5, 1.
Bukar, U. A., Jabar, M. A., Sidi, F., Nor, R. N. H. B., Abdullah, S., & Othman, M. (2020). Crisis informatics in the context of social media crisis communication: Theoretical models, taxonomy, and open issues. In IEEE access (Vol. 8, pp. 185842–185869). IEEE. https://doi.org/10.1109/ACCESS.2020.3030184
Capterra. Incident management software, https://tinyurl.com/y6aq9qe9. Last accessed 28 Feb 2022.
Chen, H., Finin, T., & Joshi, A. (2005). The SOUPA ontology for pervasive computing. In V. Tamma, S. Cranefield, T. W. Finin, & S. Willmott (Eds.), Ontologies for agents: Theory and experiences. Whitestein Series in Software Agent Technologies.
Correia, A., Severino, I., Nunes, I. L., & Simões-Marques, M. (2018). Knowledge management in the development of an intelligent system to support emergency response. In I. L. Nunes (Ed.), Advances in human factors and system interactions, AHFE 2017. Advances in intelligent systems and computing (Vol. 592, pp. 109–120). Springer.
Cummings, J., & Stacey, D. (2017). The mid level data collection ontology (dco). In Proceedings of KEOD.
Cycorp. OpenCyc Ontology, https://old.datahub.io/dataset/opencyc. Last accessed 28 Feb 2022.
Di Maio, P. (2007). An open ontology for open source emergency response system. Open Source Research Community, 43, 1–12.
Dirgahayu, T., & Setiaji, H. (2020). Semantic web in disaster management: A systematic literature review. In IOP Conference series: Materials science and engineering (p. 12043). IOP Publishing.
Elmhadhbi, L., Karray, M.-H., & Archimède, B. (2018). An ontology-based emergency response system for interoperability in a crisis situation in smart cities. In Enterprise interoperability: Smart services and business impact of enterprise interoperability. John Wiley & Sons.
Galton, A., & Worboys, M. (2011). An ontology of information for emergency management. In 8th International conference on information systems for crisis response and management: From early-warning systems to preparedness and training, ISCRAM 2011.
Gangemi, A., Guarino, N., Masolo, C., Oltramari, A., & Schneider, L. (2002). Sweetening ontologies with DOLCE. In Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics).
GO. The Gene Ontology resource, Open Biological Ontologies Foundry, http://geneontology.org/. Last accessed 28 Feb 2022.
Grenon, P., & Smith, B. (2004). SNAP and SPAN: Towards dynamic spatial ontology, spatial cognition and computation. https://doi.org/10.1207/s15427633scc0401_5
Groen, P. Open source resources for major disaster & emergency management situations, https://tinyurl.com/y6p245su. Last accessed 28 Feb 2022.
Herre, H., & Heller, B. General formal ontology, https://www.onto-med.de/ontologies/gfo. Last accessed 28 Feb 2022.
ISO. ISO/IEC-JTC1/SC32: ISO/IEC PRF 21838 Information technology – Top-level ontologies (TLO), https://www.iso.org/standard/71954.html. Last accessed 28 Feb 2022.
Jain, P., Yeh, P. Z., Verma, K., Vasquez, R. G., Damova, M., Hitzler, P., & Sheth, A. P. (2011). Contextual ontology alignment of LOD with an upper ontology: A case study with proton. In G. Antoniou et al. (Eds.), The semantic web: Research and applications. ESWC 2011 (Lecture notes in computer science) (Vol. 6643, pp. 80–92). Springer. https://doi.org/10.1007/978-3-642-21034-1_6
Kokar, M. M., Matheus, C. J., & Baclawski, K. (2009). Ontology-based situation awareness. Information Fusion, 10, 83.
Liberati, A., et al. (2009). The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: Explanation and elaboration. PLoS Medicine. https://doi.org/10.1371/journal.pmed.1000100
Lin, F. (2008). Chapter 16 situation calculus – Handbook of knowledge representation. Found. Artif. Intell.
Matheus, C. J., Kokar, M. M., Baclawski, K., Letkowski, J. A., Call, C., Hinman, M. L., Salerno, J. J., & Boulware, D. M. (2005). SAWA: An assistant for higher-level fusion and situation awareness. In: Proc. SPIE 5813, multisensor, multisource information fusion: Architectures, algorithms, and applications 2005, SPIE digital library, pp.75–85 (28 March 2005). https://doi.org/10.1117/12.604120
Mazimwe, A., Hammouda, I., & Gidudu, A. (2021). Implementation of FAIR principles for ontologies in the disaster domain: A systematic literature review. ISPRS International Journal of Geo-Information. Multidisciplinary Digital Publishing Institute, 10(5), 324.
Niles, I., & Pease, A. (2001). Towards a standard upper ontology. In: Formal ontology in information systems: Collected papers from the second international conference.
OASIS. Emergency Data Exchange Language (EDXL) Distribution Element Version 2.0, OASIS Emergency Management TC, https://tinyurl.com/y28jwa7m. Last accessed 28 Feb 2022.
Page, M. J., et al. (2021). PRISMA 2020 explanation and elaboration: Updated guidance and exemplars for reporting systematic reviews. The BMJ. BMJ Publishing Group, 372. https://doi.org/10.1136/BMJ.N160
Pease, A., Niles, I., & Li, J. (2002). The suggested upper merged ontology: A large ontology for the semantic web and its applications. Imagine, 28, 7–10.
PRISMA. PRISMA – Transparent reporting of systematic reviews and meta-analyses, Website. Available at: http://www.prisma-statement.org/. Last accessed 28 Feb 2022.
Sahil, N., & Sood, S. K. (2021). Bibliometric monitoring of research performance in ICT-based disaster management literature. Quality & Quantity, 55, 103–132.
Scherp, A., Franz, T., Saathoff, C., & Staab, S. (2012). A core ontology on events for representing occurrences in the real world. Multimedia Tools and Applications, 58, 293–331.
Segev, A. (2008). Adaptive ontology use for crisis knowledge representation. In Proceedings of ISCRAM 2008 – 5th international conference on information systems for crisis response and management.
Silva, T., Wuwongse, V., & Nidhi Sharma, H. (2011). Linked data in disaster mitigation and preparedness. In Proceedings – 3rd IEEE international conference on intelligent networking and collaborative systems, INCoS 2011.
Simões-Marques, M. (2017). Facing disasters – Trends in applications to support disaster management. In I. Nunes (Ed.), Advances in human factors and systems interaction, AHFE 2016. AISC (Vol. 497, pp. 203–215). Springer.
Smith, B., Ruttenberg, A., & Ceusters, W. Information artifact ontology, http://www.obofoundry.org/ontology/iao.html. Last accessed 28 Feb 2022.
Sowa, J. F.. Sowa ontology, http://www.jfsowa.com/ontology/. Last accessed 28 Feb 2022.
Turoff, M., Hiltz, S. R., White, C., Plotnick, L., Hendela, A., & Yoa, X. (2011). The past as the future of emergency preparedness and management. In M. E. Jennex (Ed.), Crisis response and management and emerging information systems: Critical applications (pp. 12–28). IGI Global.
UNDRR. Terminology, https://www.undrr.org/terminology. Last accessed 4 May 2022.
Wang, X. H., Zhang, D. Q., Gu, T., & Pung, H. K. (2004). Ontology based context modeling and reasoning using OWL. In: Proceedings – Second IEEE annual conference on pervasive computing and communications, workshops, PerCom.
Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., et al. (2016). The FAIR guiding principles for scientific data management and stewardship. Scientific Data, 3(1), 1–9.
Yau, S. S., & Liu, J. (2006). Hierarchical situation modeling and reasoning for pervasive computing. In: Proc. – The Fourth IEEE Workshop on Software Technol. for Future Embedded and Ubiquitous Syst., SEUS 2006 and the Second Int. Workshop on Collaborative Comput., Integr., and Assur., WCCIA 2006.
Acknowledgments
The work was funded by the Portuguese Navy.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Correia, A., Água, P.B., Simões-Marques, M. (2023). The Role of Ontologies and Linked Open Data in Support of Disaster Management. In: Scholl, H.J., Holdeman, E.E., Boersma, F.K. (eds) Disaster Management and Information Technology. Public Administration and Information Technology, vol 40. Springer, Cham. https://doi.org/10.1007/978-3-031-20939-0_18
Download citation
DOI: https://doi.org/10.1007/978-3-031-20939-0_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-20938-3
Online ISBN: 978-3-031-20939-0
eBook Packages: Economics and FinanceEconomics and Finance (R0)