article · Scientific Reports
Disasters such as floods, droughts, and earthquakes cause significant loss of life and property damage worldwide. To address risk mitigation, response, and recovery, an ontology-based disaster management framework named Disaster Management Ontology has been developed using the responsibility matrix of India's National Disaster Management Authority. The framework supports the automated distribution of tasks among relevant authorities during different phases of an emergency. It also incorporates a knowledge-driven decision support system to manage financial assistance for disaster victims. The system integrates operational knowledge and provides an environment for automated reasoners, applying decision rules formulated in Semantic Web Rule Language anchored in first-order logic. Additionally, the framework visualises its taxonomy through OntoGraph to enable interactive engagement for users navigating disaster response structures.
Natural disasters cause widespread disruption, property destruction, and loss of life globally. Standardising complex disaster protocols into an automated framework helps emergency agencies coordinate mitigation and relief efforts more systematically. Formally structuring agency responsibilities and decision rules allows public authorities to allocate essential operational duties rapidly and disburse critical financial support to affected victims with fewer delays.
The framework enables decision-support software for public emergency coordination and relief distribution. Expected users are national disaster management bodies, civil protection authorities, and municipal emergency planners. Based on the abstract, the technology is at an early developmental stage, presenting a conceptual model, rule system, and taxonomy visualisations that require real-world validation and integration into existing public safety systems.
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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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DOI: 10.1038/s41598-023-34874-6
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