Development of Safety Domain Ontology Knowledge Base for Fall Accidents
Extensive research in the field of construction safety has predominantly focused on identifying the causes and impacts of construction accidents, evaluating safety plans, assessing the effectiveness of safety education materials, and analyzing relevant policies. However, comparatively limited attent...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-06-01
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| Series: | Buildings |
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| Online Access: | https://www.mdpi.com/2075-5309/15/13/2299 |
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| author | Hyunsoung Park Sangyun Shin |
| author_facet | Hyunsoung Park Sangyun Shin |
| author_sort | Hyunsoung Park |
| collection | DOAJ |
| description | Extensive research in the field of construction safety has predominantly focused on identifying the causes and impacts of construction accidents, evaluating safety plans, assessing the effectiveness of safety education materials, and analyzing relevant policies. However, comparatively limited attention has been given to the systematic formation, management, and utilization of safety-related information and knowledge. Despite significant advancements in information and knowledge management technologies across the architecture, engineering, and construction (AEC) industries, their application in construction safety remains underdeveloped. This study addresses this gap by proposing a novel ontology-based framework specifically designed for construction safety management. Unlike previous models, the proposed ontology integrates diverse safety regulations and terminologies into a unified and semantically structured knowledge model. It comprises three primary superclasses covering key areas of construction safety, with an initial focus on fall hazards—one of the most frequent and severe risks, particularly in roofing activities. This domain-specific approach not only improves semantic clarity and standardization but also enhances reusability and extensibility for other risk domains. The ontology was developed using established methodologies and validated through reasoning tools and competency questions. By providing a formally structured, logic-driven knowledge base, the model supports automated safety reasoning, facilitates communication among stakeholders, and lays the foundation for future intelligent safety management systems in construction. This research contributes a validated, extensible, and regulation-aligned ontology model that addresses critical challenges in safety information integration, sharing, and application. |
| format | Article |
| id | doaj-art-431bc9cd0c9f456786d63ffeec36c576 |
| institution | Kabale University |
| issn | 2075-5309 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj-art-431bc9cd0c9f456786d63ffeec36c5762025-08-20T03:28:29ZengMDPI AGBuildings2075-53092025-06-011513229910.3390/buildings15132299Development of Safety Domain Ontology Knowledge Base for Fall AccidentsHyunsoung Park0Sangyun Shin1School of Engineering and Computer Science, University of Evansville, Evansville, IN 47714, USADepartment of Architecture, Keimyung University, Daegu 42601, Republic of KoreaExtensive research in the field of construction safety has predominantly focused on identifying the causes and impacts of construction accidents, evaluating safety plans, assessing the effectiveness of safety education materials, and analyzing relevant policies. However, comparatively limited attention has been given to the systematic formation, management, and utilization of safety-related information and knowledge. Despite significant advancements in information and knowledge management technologies across the architecture, engineering, and construction (AEC) industries, their application in construction safety remains underdeveloped. This study addresses this gap by proposing a novel ontology-based framework specifically designed for construction safety management. Unlike previous models, the proposed ontology integrates diverse safety regulations and terminologies into a unified and semantically structured knowledge model. It comprises three primary superclasses covering key areas of construction safety, with an initial focus on fall hazards—one of the most frequent and severe risks, particularly in roofing activities. This domain-specific approach not only improves semantic clarity and standardization but also enhances reusability and extensibility for other risk domains. The ontology was developed using established methodologies and validated through reasoning tools and competency questions. By providing a formally structured, logic-driven knowledge base, the model supports automated safety reasoning, facilitates communication among stakeholders, and lays the foundation for future intelligent safety management systems in construction. This research contributes a validated, extensible, and regulation-aligned ontology model that addresses critical challenges in safety information integration, sharing, and application.https://www.mdpi.com/2075-5309/15/13/2299smart constructionconstruction safetyknowledge managementdomain ontology |
| spellingShingle | Hyunsoung Park Sangyun Shin Development of Safety Domain Ontology Knowledge Base for Fall Accidents Buildings smart construction construction safety knowledge management domain ontology |
| title | Development of Safety Domain Ontology Knowledge Base for Fall Accidents |
| title_full | Development of Safety Domain Ontology Knowledge Base for Fall Accidents |
| title_fullStr | Development of Safety Domain Ontology Knowledge Base for Fall Accidents |
| title_full_unstemmed | Development of Safety Domain Ontology Knowledge Base for Fall Accidents |
| title_short | Development of Safety Domain Ontology Knowledge Base for Fall Accidents |
| title_sort | development of safety domain ontology knowledge base for fall accidents |
| topic | smart construction construction safety knowledge management domain ontology |
| url | https://www.mdpi.com/2075-5309/15/13/2299 |
| work_keys_str_mv | AT hyunsoungpark developmentofsafetydomainontologyknowledgebaseforfallaccidents AT sangyunshin developmentofsafetydomainontologyknowledgebaseforfallaccidents |