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

Dulce Pacheco, Dulce Pacheco, Dulce Pacheco, David Aveiro, David Aveiro, David Aveiro, Valentim Caires, Valentim Caires, Duarte Pinto, Duarte Pinto

2022

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.

Paper Citation

in Harvard Style

Pacheco D., Aveiro D., Caires V. and Pinto D. (2022). Ontology for a Georeferencing Mobile System for Real Time Detection and Monitoring of Wildfires. In Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 2: KEOD; ISBN 978-989-758-614-9, SciTePress, pages 260-268. DOI: 10.5220/0011592100003335

in Bibtex Style

@conference{keod22,
author={Dulce Pacheco and David Aveiro and Valentim Caires and Duarte Pinto},
title={Ontology for a Georeferencing Mobile System for Real Time Detection and Monitoring of Wildfires},
booktitle={Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 2: KEOD},
year={2022},
pages={260-268},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011592100003335},
isbn={978-989-758-614-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 2: KEOD
TI - Ontology for a Georeferencing Mobile System for Real Time Detection and Monitoring of Wildfires
SN - 978-989-758-614-9
AU - Pacheco D.
AU - Aveiro D.
AU - Caires V.
AU - Pinto D.
PY - 2022
SP - 260
EP - 268
DO - 10.5220/0011592100003335
PB - SciTePress