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Affiliation

ARDITI - Regional Agency for the Development of Research, Technology, and Innovation, 9020-105, Funchal, Portugal

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1 Papers

Ontology for a Georeferencing Mobile System for Real Time Detection and Monitoring of Wildfires

Topics: Ontology Engineering; Ontology Matching and Alignment; Ontology Sharing and Reuse; Enterprise Engineering; Enterprise Ontology; Domain Ontologies

Authors: Dulce Pacheco ^{1

;

2

;

3} , David Aveiro ^{1

;

3

;

4} , Valentim Caires ^{1

;

3} and Duarte Pinto ^{1

;

3}

Affiliations: ¹ ARDITI - Regional Agency for the Development of Research, Technology, and Innovation, 9020-105, Funchal, Portugal , ² School of Technology and Management, University of Madeira, Caminho da Penteada, 9020-105, Funchal, Portugal , ³ NOVA-LINCS, Universidade NOVA de Lisboa, Campus da Caparica, 2829-516, Caparica, Portugal , ⁴ Faculty of Exact Sciences and Engineering, University of Madeira, Caminho da Penteada, 9020-105, Funchal, Portugal

Digital Object Identifier: 10.5220/0011592100003335

Proceedings of KEOD 2022, ISBN: 978-989-758-614-9

Quick Abstract

This paper presents the Georeferencing Mobile Wildfire Detection System Ontology (GeMoWilDSOn). This ontology served as a base for implementing software for a mobile and georeferencing system for real-time detection and monitoring of wildfires in steep mountainous territories. On average, about 65,000 fires occur in Europe annually, burning approximately half a million hectares of wild land and forest areas. This growing tragedy directly reduces the forest biomass and biodiversity, causing severe damage to the ecosystems. Ontologies help developers speed up the requirements’ analysis in the design of a new system. Our work results in a streamlined ontology focused on fire prevention and fighting with mobile sensors, automatically georeferenced polygon data, and visible and thermal image captures, specially designed for steep mountainous terrain, where firefighting can be complex. Our research fills gaps found in related state-of-the-art and provides innovative contributions such as the concepts of manually drawn areas of fire and shadow, which are of utmost importance regarding this particularity of steep terrain. Our ontology was validated in three real-world tests where experts were delighted with the features, captured information, and its representation in the GUI of the developed system.