Derived from arXiv:2607.18029 - Natural Language Access to Domain-Specific Metadata: A Reusable Framework for LLM Query Generation
Scanned 9/11/2026
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# Natural Language Access to Domain-Specific Metadata: A Reusable Framework for LLM Query Generation
Derived from arXiv:2607.18029 - Natural Language Access to Domain-Specific Metadata: A Reusable Framework for LLM Query Generation
## Core Concept
Researchers need to answer ad-hoc questions about the contents of domain-specific archives but often lack the expertise to write structured queries on the metadata. We show that when domain vocabulary and semantics are captured in a well-designed Web Ontology Language (OWL) ontology, Large Language Models (LLMs) can generate accurate structured queries zero-shot, without fine-tuning, retrieval augmentation, or multi-agent orchestration. We present the Natural Language Knowledge Graph Query (NLKG...
## Key Insights
- Derived from arXiv:2607.18029
- Published: 2026-07-20
- Utility Score: 1.00
- Authors: Blake G. Fitch, Cato Elia Kurtz
## Activation
natural-language-access-to-domain-specific-metadat, 2607.18029
## References
- arXiv: https://arxiv.org/abs/2607.18029
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