| Autor: |
Pedro A; Center for Systems Engineering and Innovation, Imperial College London, London SW7 2BX, UK., Pham-Hang AT; School of Computer Science and Engineering, International University, Ho Chi Minh City 700000, Vietnam., Nguyen PT; Department of Project Management, Ho Chi Minh City Open University, Ho Chi Minh City 700000, Vietnam., Pham HC; Applied Computational Civil and Structural Engineering Research Group, Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam. |
| Jazyk: |
angličtina |
| Zdroj: |
International journal of environmental research and public health [Int J Environ Res Public Health] 2022 Jan 11; Vol. 19 (2). Date of Electronic Publication: 2022 Jan 11. |
| DOI: |
10.3390/ijerph19020794 |
| Abstrakt: |
Accident, injury, and fatality rates remain disproportionately high in the construction industry. Information from past mishaps provides an opportunity to acquire insights, gather lessons learned, and systematically improve safety outcomes. Advances in data science and industry 4.0 present new unprecedented opportunities for the industry to leverage, share, and reuse safety information more efficiently. However, potential benefits of information sharing are missed due to accident data being inconsistently formatted, non-machine-readable, and inaccessible. Hence, learning opportunities and insights cannot be captured and disseminated to proactively prevent accidents. To address these issues, a novel information sharing system is proposed utilizing linked data, ontologies, and knowledge graph technologies. An ontological approach is developed to semantically model safety information and formalize knowledge pertaining to accident cases. A multi-algorithmic approach is developed for automatically processing and converting accident case data to a resource description framework (RDF), and the SPARQL protocol is deployed to enable query functionalities. Trials and test scenarios utilizing a dataset of 200 real accident cases confirm the effectiveness and efficiency of the system in improving information access, retrieval, and reusability. The proposed development facilitates a new "open" information sharing paradigm with major implications for industry 4.0 and data-driven applications in construction safety management. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
|
