2019
DOI: 10.1007/978-3-030-24299-2_34
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A Multi-agent System for Recommending Fire Evacuation Routes in Buildings, Based on Context and IoT

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Cited by 3 publications
(6 citation statements)
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“…The ontology is publicly available at the URI: https://www.1000palavras.pt/ontology/fbevac/Fire-BuildingEvacuation-en. As future work, the purpose is to direct our research work to deepen ontology by creating use cases and reusing the ontology proposed here to develop the ontological model [1].…”
Section: Discussionmentioning
confidence: 99%
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“…The ontology is publicly available at the URI: https://www.1000palavras.pt/ontology/fbevac/Fire-BuildingEvacuation-en. As future work, the purpose is to direct our research work to deepen ontology by creating use cases and reusing the ontology proposed here to develop the ontological model [1].…”
Section: Discussionmentioning
confidence: 99%
“…We identify a set of competency questions based on Portuguese legislation and regulations 1 and the document of the Autoridade Nacional de Emergência e Proteção Civil (ANEPC) [15], as well as in the feedback of experts in the field. We present those competency questions and the most relevant aspects of the responses in Table 1.…”
Section: Specification Stagementioning
confidence: 99%
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“…Concerning the expected use of ontology, the ontological model proposed here inherits from [2] the ability to strengthen and consolidate knowledge about building evacuation under fire emergencies. In addition, however, it adds the knowledge needed to support the development of evacuation solutions capable of guiding the occupants of a building in a fire emergency, such as the one we are developing and studying in the context of our PhD research work [1].…”
Section: Table 1 Competency Questions and Answersmentioning
confidence: 99%
“…However, developing those solutions requires a deep knowledge of the building evacuation domain, which we can achieve by developing an ontological model. The motivation for this research work falls within the scope of our ongoing PhD thesis, which aims to propose and evaluate a multi-agent recommender system for real-time guiding the occupants to a safe place [1]. The system supports its development on an ontological model that considers the interoperability between the different actors involved in an evacuation route recommendation process, allowing a thorough knowledge of the domain.…”
Section: Introductionmentioning
confidence: 99%