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The knowledge graph construction framework proposed in the study 'The construction and refined extraction techniques of knowledge' utilizes multi-source data cleaning, rule-driven knowledge extraction, and collaborative extraction mechanisms with Large Language Models (LLMs) to provide an efficient, dynamic, and scalable solution.

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