长安大学交通运输本科专业知识图谱构建

Construction of the Knowledge Graph for Undergraduate Transportation Engineering Major at Chang’an University

摘要: 为落实教育部“以人工智能赋能专业内涵建设”的目标，推动高校本科专业的科学化、智能化建设，在专业知识图谱概念的基础上，深入研究了专业知识图谱的构建，并以长安大学交通运输专业知识图谱为例进行了实现。通过采用德尔菲法构建长安大学交通运输专业知识体系，经多轮专家函询确定五大领域及二十二个知识模块；采用自底向上和自顶向下相结合的方法构建专业知识图谱，利用Neo4j图形数据库进行实现，展示知识模块及其关系，为专业建设提供参考。

Abstract: In order to implement the goal of “empowering professional connotation construction with artificial intelligence” set by the Ministry of Education and promote the scientific and intelligent construction of undergraduate majors in universities, based on the concept of professional knowledge graph, in-depth research has been conducted on the construction of major knowledge graph, and the knowledge graph of transportation major at Chang’an University has been implemented as an example. By using the Delphi method to construct the knowledge system of transportation major at Chang’an University, five major fields and twenty-two knowledge modules were determined through multiple rounds of expert inquiries; we use a combination of bottom-up and top-down methods to construct a major knowledge graph, and implement it using the Neo4j graph database to display knowledge modules and their relationships, providing a reference for professional development.