Constructing Dynamic Master Logic Models as Knowledge Graphs for Complex System Diagnostics Using Retrieval-Augmented Large Language Models
Dynamic Master Logic (DML) provides a hierarchical framework for representing system behavior by linking functional objectives to underlying structural elements. However, DML construction typically relies on expert interpretation of technical documentation, limiting scalability for complex systems. 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
Record details
Published: 12 August 2026
Source: arXiv cs.AI
Category: Research
Topics: Healthcare
Retrieved: 13 August 2026
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ethics.ai (12 August 2026), “Constructing Dynamic Master Logic Models as Knowledge Graphs for Complex System Diagnostics Using Retrieval-Augmented Large Language Models,” evidence record 19021, https://ethics.ai/record/19021 (originally published by arXiv cs.AI).
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