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Abbasnejad, B, Nasirian, A, Duan, S, Diro, A, Prasad Nepal, M and Song, Y (2024) Measuring BIM implementation: A mathematical modeling and artificial neural network approach. Journal of Construction Engineering and Management, 150(05).
Asadian, E, Azeez, S, Leicht, R M and Asadi, S (2024) Exploring the barriers to women in construction and the opportunities presented through lean. Journal of Construction Engineering and Management, 150(05).
Henao, Y, Grubert, E, Korey, M, Bank, L C and Gentry, R (2024) Life cycle assessment and life cycle cost analysis of repurposing decommissioned wind turbine blades as high-voltage transmission poles. Journal of Construction Engineering and Management, 150(05).
Huang, Y, Liu, D, Bell, F M, Yu, J and Pena-Mora, F (2024) Influences of intra- and interorganizational IT innovations on knowledge sharing and team creativity: Evidence from construction projects in China. Journal of Construction Engineering and Management, 150(05).
Min, Y and Lee, H W (2024) Adoption inequalities and causal relationship between residential electric vehicle chargers and heat pumps. Journal of Construction Engineering and Management, 150(05).
Nabi, M A, El-Adaway, I H and Assaad, R H (2024) Modeling inflation transmission among different construction materials. Journal of Construction Engineering and Management, 150(05).
Nguyen, P H D and Tran, D (2024) Exploring the use of quality control plans for alternative contracting methods in highway projects. Journal of Construction Engineering and Management, 150(05).
Ning, X, Ye, X, Li, H, Rajendra, D and Skitmore, M (2024) Evolutionary game analysis of optimal strategies for construction stakeholders in promoting the adoption of green building technology innovation. Journal of Construction Engineering and Management, 150(05).
Shi, M, Chen, C, Xiao, B and Seo, J (2024) Vision-based detection method for construction site monitoring by integrating data augmentation and semisupervised learning. Journal of Construction Engineering and Management, 150(05).
Tao, Y, Hu, H, Xu, F and Zhang, Z (2024) Work-rest schedule optimization of precast production considering workers' overexertion. Journal of Construction Engineering and Management, 150(05).
Turkoglu, H, Arditi, D and Polat, G (2024) Augmented time-cost trade-off optimization using particle swarm optimization. Journal of Construction Engineering and Management, 150(05).
Wang, H, Xu, S, Cui, D, Xu, H and Luo, H (2024) Information integration of regulation texts and tables for automated construction safety knowledge mapping. Journal of Construction Engineering and Management, 150(05).
- Type: Journal Article
- Keywords: knowledge graphs; named entity recognition; regulation information extraction; semantic role labeling; social network analysis
- ISBN/ISSN: 0733-9364
- URL: http://doi.org/10.1061/JCEMD4.COENG-14436
- Abstract:
The explicit safety knowledge contained in regulations in the form of texts and tables is crucial for construction safety management. However, the presence of rich semantic content within texts and the intricate layout of complex tables makes domain information extraction challenging. Therefore, this research proposed a hybrid approach to map safety knowledge graphs by automatically extracting information from both texts and tables in a scenario-oriented manner, combining rules and deep learning methods to achieve a balance between scene applicability and method flexibility. Furthermore, metrics from social network analysis (SNA) were applied to evaluate and verify the quality of the constructed knowledge graph. For extracting semantic information from text, the proposed approach supplemented the semantics information of the sentence and balanced the granularity of knowledge by combining the BERT-BiLSTM-CRF-based named entity recognition (NER) model and semantic role labeling (SRL)-based information extraction model. For irregular tables, a unified automatic extraction method was developed to process nested tables without preprocessing. The experiment constructed a comprehensive and scenario-oriented knowledge graph with 907 nodes, and showed high precision and recall for texts (89.37%, 85.42%) and tables (97.11%, 85.22%) on the test data. SNA results showed the proposed method ensured information richness and structural complexity.
Wang, J, Liang, M and Liao, P C (2024) Toward an intuitive device for construction hazard recognition management: Eye fixation-related potentials in reinvestigation of hazard recognition performance prediction. Journal of Construction Engineering and Management, 150(05).
Wang, L, Lee, J, Nimawat, J, Han, K and Gupta, A (2024) Integrated 4D design change management model for construction projects. Journal of Construction Engineering and Management, 150(05).
Wang, S, Hasan, M and Lu, M (2024) Global sensitivity analysis methodology for construction simulation models: Multiple linear regressions versus multilayer perceptions. Journal of Construction Engineering and Management, 150(05).
Zhang, S, Hua, X and Shi, X (2024) Measurement for risk perception ability. Journal of Construction Engineering and Management, 150(05).