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The study aims to bridge the gap between traditional knowledge graph methods and AI systems by integrating Large Language Model (LLM) language capabilities, domain adaptation techniques, and Chain-of-Thought (CoT) reasoning to design an automated framework for secure and specialized knowledge environments.

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