Article Details

Title · Authors · Abstract · Keywords · DOI · References

Construction and Application of Knowledge Graph of National Vocational Skill Standard for Construction Engineering Quality Inspectors

WANG Haiyuan1,2, LI Jianmin1,2, ZHANG Feng1,2, FENG Zelong1,2, ZHANG Shen1,2

(1.China Academy of Building Research Co., Ltd., Beijing 100013, China; 2.CABR Testing Center Co., Ltd., Beijing 100013, China)

Section:Information Technology · Vol. 2025, Issue 2 · Pages:79-83 · 2096-4706(2025)02-0079-05 · CLC number:TP391.1 · Document code:A · DOI:10.19850/j.cnki.2096-4706.2025.02.014

Abstract

Taking the construction of the Knowledge Graph of National Vocational Skill Standard for Construction Engineering Quality Inspectors as the main research content, this paper introduces the importance of National Vocational Skill Standard for Construction Engineering Quality Inspectors for the development of the education and inspection industries, discusses the importance of underlying knowledge in the current digital transformation process, and illustrates the role of the Knowledge Graph in practical work. On this basis, the Knowledge Graph is constructed using the expert top-down method, and the relationship between concepts and attribute types are determined according to the standard content. With “construction engineering quality inspector” as the core concept, it expands the related concepts in the standard. Finally, the Knowledge Graph is loaded into the third-party platform for testing, and corresponding results are obtained through SPARQL queries. Meanwhile, the relevance of Knowledge Graphs in different fields is also verified.

Keywords

national standard; Knowledge Graph; resource description framework; triple

References

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About the authors

Wang Haiyuan (1981-), male, Han nationality, from Shuozhou, Shanxi Province, associate researcher, PhD, research direction: artificial intelligence, knowledge graph, intelligent detection technology.