Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Jan 11;19(2):794.
doi: 10.3390/ijerph19020794.

Data-Driven Construction Safety Information Sharing System Based on Linked Data, Ontologies, and Knowledge Graph Technologies

Akeem Pedro  1 , Anh-Tuan Pham-Hang  2 , Phong Thanh Nguyen  3 , Hai Chien Pham  4
Affiliations

Data-Driven Construction Safety Information Sharing System Based on Linked Data, Ontologies, and Knowledge Graph Technologies

Akeem Pedro et al. Int J Environ Res Public Health. .

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.

Keywords: accident prevention; construction safety; data-driven; information sharing; knowledge engineering; knowledge graph; knowledge management; linked data; ontology; semantic web.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Basic RDF triple.
Figure 2
Figure 2
Development and application framework for construction safety information sharing system.
Figure 3
Figure 3
Data extraction and cleaning procedures.
Figure 4
Figure 4
Ontology schema for accident data representations.
Figure 5
Figure 5
Ontology for construction safety information sharing.
Figure 6
Figure 6
Accident case in the Turtle serialization.
Figure 7
Figure 7
Algorithm for automatic conversion of accident data to RDF.
Figure 8
Figure 8
Query 1 code, result, and example of retrieved case.
Figure 9
Figure 9
Query 2 code, result, and example of retrieved case.
Figure 10
Figure 10
Query 3 code, result, and example of retrieved case.
Figure 11
Figure 11
Graph-based visualization of accident data.
Figure 12
Figure 12
(a) Initial reasoning result with an error. (b) Subsequent reasoning result.
See this image and copyright information in PMC

References

    1. Mckinsey Global Institute The Next Normal in Construction: How Disruption Is Reshaping the World’s Largest Ecosystem. [(accessed on 14 October 2021)]. Available online: https://www.mckinsey.com/business-functions/operations/our-insights/the-....
    1. Pedro A., Pham H.C., Kim J.U., Park C. Development and evaluation of context-based assessment system for visualization-enhanced construction safety education. Int. J. Occup. Saf. Ergon. 2020;26:811–823. doi: 10.1080/10803548.2018.1553377. - DOI - PubMed
    1. Pedro A., Le Q.T., Park C.S. Framework for integrating safety into construction methods education through interactive virtual reality. J. Prof. Issues Eng. Educ. Pract. 2016;142:04015011. doi: 10.1061/(ASCE)EI.1943-5541.0000261. - DOI
    1. Pham H.C., Dao N.N., Cho S., Nguyen P.T., Pham-Hang A.T. Construction hazard investigation leveraging object anatomization on an augmented photoreality platform. Appl. Sci. 2019;9:4477. doi: 10.3390/app9214477. - DOI
    1. Uddin S.M., Albert A., Alsharef A., Pandit B., Patil Y., Nnaji C. Hazard Recognition Patterns Demonstrated by Construction Workers. Int. J. Environ. Res. Public Health. 2020;17:7788. doi: 10.3390/ijerph17217788. - DOI - PMC - PubMed

LinkOut - more resources