Ontology for safety risk identification in metro construction

Xing, Xuejiao; Zhong, Botao; Luo, Hui; Li, Heng; Wu, Haitao

doi:10.1016/j.compind.2019.04.001

Cited by 111 publications

(67 citation statements)

References 29 publications

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“…There are many methods for developing ontology models, including the Skeleton [39], KACTUS [40], TOVE [41], METHONTOLOGY [42], and Seven-step methods. The Seven-step method developed by Stanford University is used to build domain ontology, and is the most widely used ontology development method in studies throughout the world [8,43,44]. In comparison with other ontology development methods, the Seven-step method is considered to be a relatively mature and sound technology, as it focuses on the ontology development process and is highly applicable to construction work, as well as being especially suited to domain ontology development.…”

Section: Ontology Technology In Construction Safety Managementmentioning

confidence: 99%

“…With the infiltration of information technology and digital technology in multi-disciplinary fields, research into ontology technology has begun to appear in the construction industry [6,8,45,46]. In the field of construction safety management, ontology has also been used for the representation, sharing, exchange, and reuse of safety knowledge [6].…”

Section: Ontology Technology In Construction Safety Managementmentioning

confidence: 99%

“…Each column in the matrix represents a certain kind of indicator, and x ij is the relative value of the indicator importance, which means the importance of the index in column i is relative to the index in column j. Secondly, the relative importance of the values of the indicators of each row are added to solve Equation (8), and then the sum of the relative values of the importance degrees of all the indices is obtained to solve Equation (9), with…”

Section: Deriving Index Of Weights Of Casesmentioning

confidence: 99%

“…The subway project construction risks can be summarized based on a large number of studies and related historical cases, combined with the suggestions of subway area experts. The ontology mainly describes the potential risks in the subway construction process, which are mainly composed of risk types, sources, levels, consequences, and prevention measures [8].…”

Section: Construction Safety Risk Subway Project Identificationmentioning

confidence: 99%

“…To improve safety management, risk identification and assessment are important steps [6]. However, most knowledge concerning safety risks is in various unstructured forms (e.g., expert experience, construction drawings, and construction organization design) [7,8], and the identification and evaluation of safety risks depends on the practical experience of domain experts [9]. In addition, due to the frequent mobilization of engineers and experts, and the inconsistency of communication between organizations and stakeholders, knowledge related to safety risks cannot be fully utilized, which sometimes impedes the implementation of safety risk management [10,11].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A Decision Method for Construction Safety Risk Management Based on Ontology and Improved CBR: Example of a Subway Project

Jiang

Wang

et al. 2020

IJERPH

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Early decision-making and the prevention of construction safety risks are very important for the safety, quality, and cost of construction projects. In the field of construction safety risk management, in the face of a loose, chaotic, and huge information environments, how to design an efficient construction safety risk management decision support method has long been the focus of academic research. An effective approach to safety management is to structuralize safety risk knowledge, then identify and reuse it, and establish a scientific and systematic construction safety risk management decision system. Based on ontology and improved case-based reasoning (CBR) methods, this paper proposes a decision-making approach for construction safety risk management in which the reasoning process is improved by integrating a similarity algorithm and correlation algorithm. Compared to the traditional CBR approach in which only the similarity of information is considered, this method can avoid missing important correlated information by making inferences from multiple sources of information. Finally, the method is applied to the safety risks of subway construction for verification to show that the method is effective and easy to implement.

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Section: Ontology Technology In Construction Safety Managementmentioning

confidence: 99%