Faithful and Complete LLM-Assisted Automated Construction of Hierarchical Hardware Knowledge Graphs
We present an automated LLM-driven pipeline that transforms hardware datasheets into general-purpose hierarchical hardware knowledge graphs through chunk-based property extraction, hierarchical routing, and iterative refinement.
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Key points
- Hardware datasheets contain engineering specifications essential for component selection, system integration, and hardware compatibility verification.
- The resulting knowledge graphs provide semantically organized, source-grounded hardware properties for downstream retrieval and reasoning.
- We evaluate the framework on 20 hardware datasheets spanning diverse component types and document lengths.
- We assess property faithfulness and introduce inter-graph completeness to measure relative semantic coverage without exhaustive ground truth.
Sources (1)
- [1]Faithful and Complete LLM-Assisted Automated Construction of Hierarchical Hardware Knowledge GraphsarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 8, 10:12 PM
We present an automated LLM-driven pipeline that transforms hardware datasheets into general-purpose hierarchical hardware knowledge graphs through chunk-based property extraction, hierarchical routing, and iterative refinement.
Hardware datasheets contain engineering specifications essential for component selection, system integration, and hardware compatibility verification.
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