基于知识图谱的智能职业技能培训研究

Proceedings of the 2019 International Conference on Management, Education Technology and Economics (ICMETE 2019) Pub Date : 2019-05-01 DOI:10.2991/ICMETE-19.2019.55

Yanhua Wang, Yong Li

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引用次数: 0

摘要

针对职业技能培训过程中存在的效率低、优化困难、培训效果不确定等问题，本文研究了基于知识图谱的智能职业培训。系统根据职业技能培训的需要，通过自然语言处理自动生成知识图对象，然后利用蚁群算法发现知识图的路径，最后制定培训计划。职业技能培训是用Python语言设计和开发的。关键词:职业技能培训;知识图;蚁群算法;Python

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A Study for Smart Vocational Skill Training Based on Knowledge Graph

In view of the low efficiency, optimization difficulties and uncertain training effect in the process of vocational skill training, this paper studies smart vocational training based on knowledge graph. According to the needs of vocational skills training, the system creates knowledge graph objects by natural language processing automatically, then utilizes ant colony algorithm to discover the path of knowledge graph, and finally develops the training plan. The vocational skill training is designed and developed in Python language. Keywords—Vocational skill training; Knowledge graph; Ant colony algorithm; Python

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Proceedings of the 2019 International Conference on Management, Education Technology and Economics (ICMETE 2019)

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