Systematic Knowledge Management of Construction Safety Standards Based on Knowledge Graphs: A Case Study in China

Yukun Jiang, Xin Gao, Wenxin Su and Jinrong Li
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Yukun Jiang: School of Economics and Management, Tongji University, Shanghai 200092, China
Xin Gao: School of Economics and Management, Tongji University, Shanghai 200092, China
Wenxin Su: School of Economics and Management, Tongji University, Shanghai 200092, China
Jinrong Li: School of Economics and Management, Tongji University, Shanghai 200092, China

IJERPH, 2021, vol. 18, issue 20, 1-15

Abstract: Construction safety standards (CSS) have knowledge characteristics, but few studies have introduced knowledge graphs (KG) as a tool into CSS management. In order to improve CSS knowledge management, this paper first analyzed the knowledge structure of 218 standards and obtained three knowledge levels of CSS. Second, a concept layer was designed which consisted of five levels of concepts and eight types of relationships. Third, an entity layer containing 147 entities was constructed via entity identification, attribute extraction and entity extraction. Finally, 177 nodes and 11 types of attributes were collected and the construction of a knowledge graph of construction safety standard (KGCSS) was completed using knowledge storage. Furthermore, we implemented knowledge inference and obtained CSS planning, i.e., the list of standard work plans used to guide the development and revision of CSS. In addition, we conducted CSS knowledge retrieval; a process which supports interrogative input. The construction of KGCSS thus facilitates the analysis, querying, and sharing of safety standards knowledge.

Keywords: construction safety standards; knowledge graph; domain knowledge; knowledge management; standards planning (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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