Constructing Dynamic Master Logic Models as Knowledge Graphs for Complex System Diagnostics Using Retrieval-Augmented Large Language Models

• 类型：arxiv
• 标识：2608.12304
• 链接：http://arxiv.org/abs/2608.12304v1
• 主分类：rag
• 形态：method
• 被引：0
• 被引来源：Semantic Scholar
• S2被引：0
• 影响力被引：0
• TLDR：This study presents a framework for automated construction of DML models from system descriptions and their representation as Knowledge Graphs (KG-DML), using Retrieval-Augmented Generation and Large Language Models as enabling tools.
• 待LLM分类：否
• 标题中文：利用检索增强 LLM 构建用于复杂系统诊断的动态主逻辑知识图谱
• TLDR中文：本文提出一种框架，用于从系统描述自动构建 DML 模型并将其表示为知识图谱 (KG-DML)，以 RAG 和 LLM 作为使能工具。
• 来源文件：
• /inbox/tom/_candidates/2026-08-13-agent-rag-longcontext-candidates.json
• /inbox/tom/_candidates/2026-08-14-agent-rag-longcontext-candidates.json
• [S2 enrich]