SBEO: Smart Building Evacuation Ontology

被引:5
作者
Khalid, Qasim [1 ]
Fernandez, Alberto [1 ]
Lujak, Marin [1 ]
Doniec, Arnaud [2 ]
机构
[1] Univ Rey Juan Carlos, CETINIA, Mostoles, Madrid, Spain
[2] IMT Nord Europe, F-59500 Douai, France
关键词
ontology; linked data; smart building; hazard detection; emergency evac-uation; indoor route recommendation; navigation; EMERGENCY MANAGEMENT; AMBIENT INTELLIGENCE; KNOWLEDGE; INFRASTRUCTURE; BEHAVIORS; SEMANTICS; DESIGN; MODEL;
D O I
10.2298/CSIS220118046K
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Semantically rich depiction of the concepts for context-aware indoor routing brings appealing benefits for the safety of occupants of smart spaces in emergency evacuation. In this paper, we propose Smart Building Evacuation Ontol-ogy (SBEO3), a reusable ontology for indoor spaces, based on three different data models: user, building, and context. We provide a common representation of indoor routing and navigation, describe users' characteristics and preferences, grouping of individuals and their role in a specific context, hazards, and emergency evacu-ation. Among other characteristics, we consider abilities of individuals, safety and accessibility of spaces related to each person, intensity, impact, and severity of an emergency event or activity. SBEO is flexible and compatible with other ontologies of its domain, including SEAS, SSN/SOSA, SEMA4A, and empathi. We evalu-ate SBEO based on several metrics demonstrating that it addresses the information needs for the context-aware route recommendation system for emergency evacua-tion in indoor spaces. In the end, a simulation-based application example exploits SBEO using Context-Aware Emergency Evacuation Software (CAREE)4.
引用
收藏
页码:51 / 76
页数:26
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