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. 2023 May 19;13(1):8091.
doi: 10.1038/s41598-023-34874-6.

Disaster management ontology- an ontological approach to disaster management automation

Deepika Shukla #  1 , Hiteshwar Kumar Azad #  2 , Kumar Abhishek #  1 , S Shitharth #  3
Affiliations

Disaster management ontology- an ontological approach to disaster management automation

Deepika Shukla et al. Sci Rep. .

Abstract

The geographical location of any region, as well as large-scale environmental changes caused by a variety of factors, invite a wide range of disasters. Floods, droughts, earthquakes, cyclones, landslides, tornadoes, and cloudbursts are all common natural disasters that destroy property and kill people. On average, 0.1% of the total deaths globally in the past decade have been due to natural disasters. The National Disaster Management Authority (NDMA), a branch of the Ministry of Home Affairs, plays an important role in disaster management in India by taking responsibility for risk mitigation, response, and recovery from all natural and man-made disasters. This article presents an ontology-based disaster management framework based on the NDMA's responsibility matrix. This ontological base framework is named as Disaster Management Ontology (DMO). It aids in task distribution among necessary authorities at various stages of a disaster, as well as a knowledge-driven decision support system for financial assistance to victims. In the proposed DMO, ontology has been used to integrate knowledge as well as a working platform for reasoners, and the Decision Support System (DSS) ruleset is written in Semantic Web Rule Language (SWRL), which is based on the First Order Logic (FOL) concept. In addition, OntoGraph, a class view of taxonomy, is used to make taxonomy more interactive for users.

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Figures

Figure 1
Figure 1
Proposed framework of DMO.
Figure 2
Figure 2
A snapshot from Protégé depicts NDMA dependency structure.
Figure 3
Figure 3
A snapshot from Protégé depicts entities as Process.
Figure 4
Figure 4
A snapshot from Protégé depicts causes and effects of cyclone.
Figure 5
Figure 5
A snapshot from Protégé depicts monitoring under Inter-agency co-ordination.
Figure 6
Figure 6
A snapshot from Protégé depicts DRR structural measures.
Figure 7
Figure 7
A snapshot from Protégé depicts DRR Non-Structural measure.
Figure 8
Figure 8
A snapshot from Protégé depicts the capacity development matrix.
Figure 9
Figure 9
A snapshot from Protégé depicts the response and recovery matrix.
Figure 10
Figure 10
Flowchart of the rules for getting assistance for disaster victims.
Figure 11
Figure 11
A snapshot from Protégé depicts family relation Onto-graph.
Figure 12
Figure 12
A snapshot from Protégé depicts the reasoner tracing family detail of a person jaya.
Figure 13
Figure 13
Reasoner finding household assistance.
Figure 14
Figure 14
Reasoner finding household assistance.
Figure 15
Figure 15
Rules for injured individuals.
See this image and copyright information in PMC

References

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    1. GOI. National disaster management plan. A publication of the National Disaster Management Authority, Government of India, New Delhi. http://ndma.gov.in (2019).
    1. Azad, H. K., Deepak, A. & Abhishek, K. Linked open data search engine, in Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies, 1–5 (2016).
    1. Arp R, Smith B, Spear AD. Building Ontologies with Basic Formal Ontology. MIT Press; 2015.