摘要
在国家的大力支持与鼓励下,人工智能技术已经被应用到各行各业,为人们的工作、生活和学习提供了极大的便利。它在高级编程、数据结构等很多课程中已经得到了一定的应用,但是还有较大的提升空间,例如人工智能领域中的自然语言处理技术和语义网技术很少被应用。另外,传统的物流管理课程往往比较单调乏味,很难勾起学生学习的兴趣。为了提升物流管理课程的趣味性,激发学生的学习积极性,文中旨在从物流管理课程内容本身提取人工智能元素,探讨如何从更多角度将自然语言处理和语义网等人工智能技术应用到物流管理课程中,以期提升课程的趣味性,拓展学习的知识面。
With the strong support and encouragement of our country,artificial intelligence technology has been applied in all walks of life,providing great convenience for people s work,life and study.It has been applied in many courses such as advanced programming and data structure,but there is still much room for improvement.For example,the natural language processing technology and semantic web technology in the field of artificial intelligence are rarely applied.In addition,the traditional logistics management courses are often tedious and difficult to arouse students interest in learning.In order to enhance the interest of logistics management courses and stimulate students learning enthusiasm,this paper aims to extract artificial intelligence elements from the content of logistics management courses,and explore how to apply artificial intelligence technologies such as natural language processing and semantic web to logistics management courses from more dimensions,so as to enhance the interest of courses and expand the knowledge of learning.
作者
季秋
李炜卓
JI Qiu;LI Wei-zhuo(Nanjing University of Posts and Telecommunications,Nanjing 210003,China)
出处
《物流工程与管理》
2022年第7期171-174,共4页
Logistics Engineering and Management
基金
教育部产学合作协同育人项目“自然语言处理的课程体系建设”(项目号:201902235006)
2018年度南京邮电大学教改项目“现代信息技术与程序设计课程紧密耦合的研究”(项目编号:JG10418JX96)资助。
关键词
物流管理
智慧物流
人工智能
自然语言处理
语义网
logistics management
wisdom logistics
artificial intelligence
natural language processing
semantic web
