A Study for Smart Vocational Skill Training Based on Knowledge Graph
- https://doi.org/10.2991/icmete-19.2019.55How to use a DOI?
- Vocational skill training; Knowledge graph; Ant colony algorithm; Python
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.
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yanhua Wang AU - Yong Li PY - 2019/05 DA - 2019/05 TI - A Study for Smart Vocational Skill Training Based on Knowledge Graph BT - Proceedings of the 2019 International Conference on Management, Education Technology and Economics (ICMETE 2019) PB - Atlantis Press SP - 229 EP - 232 SN - 2352-5428 UR - https://doi.org/10.2991/icmete-19.2019.55 DO - https://doi.org/10.2991/icmete-19.2019.55 ID - Wang2019/05 ER -