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This is a Quantitative Study study.

September 30, 2025US-China Education Review AOpen Access

Construction of Vocational Education Knowledge Graph Based on DeepSeek

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XWXiaoyu WangNortheast Forestry University

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Implication

This analysis shows the effectiveness of AI in constructing knowledge graphs for vocational education, suggesting a pathway for digital transformation.

Key Points

The research successfully constructs a knowledge graph for vocational education based on structured data from unstructured texts.
By implementing targeted prompts with DeepSeek's API, entity-relation-entity triples were extracted effectively.
Using Neo4j for visualization, the constructed knowledge network enhances both structure and fault diagnosis in technical fields.
This method demonstrates the potential of large language models to streamline knowledge base creation for vocational education.

Cite This Study

Xiaoyu Wang (2025) studied this question.

synapsesocial.com/papers/68dc26218a7d58c25ebb2fee https://doi.org/10.17265/2161-623x/2025.09.004

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Implication

This analysis shows the effectiveness of AI in constructing knowledge graphs for vocational education, suggesting a pathway for digital transformation.

Construction of Vocational Education Knowledge Graph Based on DeepSeek

Discussion

Member takes

Implication

Key Points

Cite This Study

Construction of Vocational Education Knowledge Graph Based on DeepSeek

Discussion

Member takes

Implication

Key Points

Cite This Study

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