Construction and Application of Knowledge Graph of National Vocational Skill Standard for Construction Engineering Quality Inspectors
(1.China Academy of Building Research Co., Ltd., Beijing 100013, China; 2.CABR Testing Center Co., Ltd., Beijing 100013, China)
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
- [1] Ministry of Housing and Urban Rural Development Notice of the Ministry of Housing and Urban Rural Development on Issuing the Qualification Standards for Construction Quality Inspection Institutions [EB/OL]. [June 9, 2024] https://www.gov.cn/zhengce/zhengceku/2023-04/20/content_5752347.htm?ivk_sa=1023197a.
- [2] Ministry of Human Resources and Social Security, State Administration for Market Regulation, Bureau of Statistics Notice of the Statistics Bureau of the Market Supervision Bureau of the Ministry of Human Resources and Social Security on the Issuance of the Occupational Classification Code of the People's Republic of China Occupational Classification Code (2022) [EB/OL]. [2024-06-09] http://www.mohrss.gov.cn/SYrlzyhshbzb/rencairenshi/zcwj/RCDWJSzonghe/202211/t20221103_489285.html?eqid=ab8e1c280003b4a000000006642bd965&wd=&eqid=d6b0803800034a4b00000004645b564c.
- [3] Ministry of Human Resources and Social Security The Ministry of Human Resources and Social Security publicly solicited opinions on 66 national occupational standards from the society [EB/OL]. [June 9, 2024] http://www.mohrss.gov.cn/wap/xw/rsxw/202309/t20230901_505566.html.
- [4] Li Donghai, Liu Xing, Wang Peng The Value, Challenges, and Innovative Paths of Empowering High Quality Development of Vocational Education with Artificial Intelligence [J]. Education and Career, 2023 (4): 13-20
- [5] Fang Siyi Discussion on the Technical Path and Application Scenarios of Standard Knowledge Graph [J]. China Standardization, 2023 (11): 49-55
- [6] Qin Li, Hao Zhigang, Li Guoliang Construction and Correlation Analysis of National Food Safety Standard Atlas [J]. Computer Applications, 2021, 41 (4): 1005-1011
- [7] Zheng Qinghua, Liu Huan, Gong Tieliang, etc Development Status and Prospects of Big Data Knowledge Engineering [J]. China Engineering Science, 2023, 25 (2): 208-220
- [8] Huang Zhisheng, Miao Chong, Hu Qing, etc Research on the Construction of Kawasaki Disease Knowledge Graph [J]. China Digital Medicine, 2018, 13 (9): 28-31
- [9] Zhao Yubo, Zhang Liping, Yan Sheng, etc Overview of the Construction and Application of Subject Knowledge Graph in Personalized Learning [J]. Computer Engineering and Applications, 2023, 59 (10): 1-21
- [10] Yang Dexiang, Li Jianfeng Research on Standard Knowledge Management Based on Knowledge Graph [J]. Standard Science, 2023 (4): 39-45
- [11] Liu Huilin, Niu Li Exploration of the Knowledge Graph Organization Model of Standard Documents [J]. Archives Communication, 2021 (5): 58-65
- [12] Liu Mingpeng, Wang Zhongming, Ma Wenjun Construction and application of ontology based knowledge graph for afforestation tree species [J]. Journal of Beijing Forestry University, 2023, 45 (8): 109-122
- [13] Liu Guangyu, An Peng, Wu Zhen, etc Ontology based knowledge modeling and application in the field of highway engineering safety [J]. Journal of Tsinghua University: Natural Science Edition, 2024, 64 (2): 224-234
- [14] Li Wei, Xiao Yanghua, Wang Wei Character Entity Recognition Based on Chinese Knowledge Graph [J]. Computer Engineering, 2017, 43 (3): 225-231+240
- [15] Liu Junnan, Liu Haiyan, Chen Xiaohui, etc Knowledge Graph Construction for Multi Source Geospatial Data [J]. Journal of Earth Information Science, 2020, 22 (7): 1476-1486
- [16] The State Council Notice of the State Council on Issuing the Development Plan for the New Generation of Artificial Intelligence [EB/OL]. [June 9, 2024] https://www.gov.cn/zhengce/content/2017-07/20/content_5211996.htm
- [17] Jin Bo, Zheng Yongjin Research on the Implementation Path of Digital Transformation in Vocational Education under the Background of High Quality Development [J]. China Higher Education Research, 2023 (7): 97-102
- [18] Liao Shuai, Deng Qian, Huang Haicong Research hotspots and cutting-edge trends of educational informatization in China: Visual knowledge graph analysis based on CiteSpace [J]. Modern Information Technology, 2023, 7 (18): 142-149
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.