A Review of Ontology-Based Safety Management in Construction

被引:10
作者
Chen, Wei Tong [1 ,2 ]
Bria, Theresia Avila [1 ,3 ]
机构
[1] Natl Yunlin Univ Sci & Technol, Grad Sch Engn Sci & Technol, Douliu City 64002, Taiwan
[2] Natl Yunlin Univ Sci & Technol, Dept Civil & Construction Engn, Douliu City 64002, Taiwan
[3] State Polytech Kupang, Dept Civil Engn, Kupang 85258, Indonesia
关键词
safety management; construction industry; ontology; life cycle; DOMAIN ONTOLOGY; LINKED DATA; SYSTEM; RISK; KNOWLEDGE; BIM; IDENTIFICATION; METHODOLOGY; FRAMEWORK; CHECKING;
D O I
10.3390/su15010413
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The construction industry is one of the most dangerous industries in terms of safety performance, with practitioners and experts actively developing various solutions to reduce accident frequency and severity. However, accident information is collected in a wide range of formats by various elements in the construction industry, leading to interoperability issues and poor productivity due to the difficulties of sharing and reusing information. To improve the management of various types of safety management (SM) records in the construction industry, practitioners and researchers have adopted ontological methods. This paper summarizes the SM trends in construction management, along with gaps and opportunities for future work. A data processing framework is developed with a phase research for objective and subjective topic analysis from a collection of articles from 2012-2022 on topics relevant to the use of ontology in SM. The analysis focuses on the ontological life cycle (development, integration, and application), revealing an increasing trend of ontology-based SM (ObSM) research in the SM maintenance phase. Increasing case size and system automation is needed for future ontology-based SM optimization. The findings of the study will help to gain a thorough knowledge of ObSM, which will increase interest in effectiveness and the use of engineering and analytical techniques in SM.
引用
收藏
页数:17
相关论文
共 58 条
[1]   Prioritizing BIM Capabilities of an Organization: An Interpretive Structural Modeling Analysis [J].
Ahuja, Ritu ;
Sawhney, Anil ;
Arif, Mohammed .
CREATIVE CONSTRUCTION CONFERENCE 2017, CCC 2017, 2017, 196 :2-10
[2]   An Ontology-Based Security Risk Management Model for Information Systems [J].
Arogundade, Oluwasefunmi T. ;
Abayomi-Alli, Adebayo ;
Misra, Sanjay .
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2020, 45 (08) :6183-6198
[3]   An ontology-based methodology for hazard identification and causation analysis [J].
Aziz, Abdul ;
Ahmed, Salim ;
Khan, Faisal I. .
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2019, 123 :87-98
[4]   The use of ontologies for enhancing the use of accident information [J].
Batres, Rafael ;
Fujihara, Shinya ;
Shimada, Yukiyasu ;
Fuchino, Testuo .
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2014, 92 (02) :119-130
[5]   An automatic literature knowledge graph and reasoning network modeling framework based on ontology and natural language processing [J].
Chen, Hainan ;
Luo, Xiaowei .
ADVANCED ENGINEERING INFORMATICS, 2019, 42
[6]   Using ontology-based text classification to assist Job Hazard Analysis [J].
Chi, Nai-Wen ;
Lin, Ken-Yu ;
Hsieh, Shang-Hsien .
ADVANCED ENGINEERING INFORMATICS, 2014, 28 (04) :381-394
[7]   Transforming inherent safety risk in the construction Industry: A safety risk generation and control model [J].
Choe, Sooyoung ;
Leite, Fernanda .
SAFETY SCIENCE, 2020, 124
[8]   A performance assessment ontology for the environmental and energy management of buildings [J].
Corry, Edward ;
Pauwels, Pieter ;
Hu, Shushan ;
Keane, Marcus ;
O'Donnell, James .
AUTOMATION IN CONSTRUCTION, 2015, 57 :249-259
[9]   Construction risk knowledge management in BIM using ontology and semantic web technology [J].
Ding, L. Y. ;
Zhong, B. T. ;
Wu, S. ;
Luo, H. B. .
SAFETY SCIENCE, 2016, 87 :202-213
[10]  
Dokas I.M., 2014, ENV SOFTW SYST, V7, P109