Research on the Construction and Application of Railway Enterprise Training Knowledge Map Based on Ontology
(1.Railway Technology Research College, China Academy of Railway Sciences Co., Ltd., Beijing 100081, China; 2.China Railway Nanning Group Co., Ltd., Nanning 530022, China; 3.China Railway Guangzhou Group Co., Ltd., Guangzhou 510088, China; 4.China Railway Wuhan Group Co., Ltd., Wuhan 430064, China)
Abstract
The railway industry is characterized by intensive technology and strong professionalism. Railway employees need to master rich professional knowledge and skills. However, traditional training methods often have problems such as lack of systematicness and fragmentation, resulting in poor learning results. Based on ontology theory, the paper studies and puts forward the knowledge map model and visual display model of railway training, through the methods of determining the scope of the ontology professional field, determining the concept of railway knowledge, defining the attributes and relationships of the class, building entities, creating instances, visualizing the ontology, and so on. It puts forward the application scenarios of the combination of knowledge map information system and staff training system from three aspects of intelligent learning, staff portrait, and training planning. And it provides solutions for railway enterprises to solve technical problems such as low degree of systematics and precision of training content, and difficulty in evaluating training effects, so as to improve the efficiency of railway enterprise training management and ensure the quality of training.
Keywords
railway enterprise training; ontology; knowledge map; information system
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Funding
Foundation Project of China Academy of Railway Sciences Group Co., Ltd. (2023YJ086)
About the authors
Lv Tianhang (1990-), male, Han ethnicity, Beijing native, assistant researcher, master's degree, research direction: informationization of railway education and training; Corresponding author: Cheng Teng (1991-), male, Han ethnicity, Beijing native, assistant researcher, master's degree, research direction: informationization of railway education and training.