Abstract
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.
Highlights
Construction is one of the largest industries which plays a prominent role in driving economic growth and development on a global scale
SPARQL queries are advantageous over linked open data and resource description framework (RDF) datasets
Major impediments to safety information sharing include inconsistent data formats and storage methods across organizations, unstructured non-machine-readable data, lack of standardized parameters for accident data representations, lack of detailed categorical information, and limited detailed information regarding the circumstances around accidents
Summary
Construction is one of the largest industries which plays a prominent role in driving economic growth and development on a global scale. The construction industry accounts for 13% of the global GDP, and this figure is projected to rise over the decade [1]. Despite the industry’s economic significance, it remains extremely dangerous and fraught with injuries and fatalities [2,3,4,5]. Aside from the financial impact of cost overruns and time delays resulting from accidents, the humanitarian and societal cost of continuous loss of life in the industry is unquantifiable and non-negligible. Accident rates remain high, and the industry is plagued by casualty rates as much as three times higher than those in other industries [10,11,12,13]
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