A Study for Smart Vocational Skill Training Based on Knowledge Graph

Abstract

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