Natural Language Access to Domain-Specific Metadata: A Reusable Framework for LLM Query Generation
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 task-specific fine-tuning, retrieval augmentation, or multi-agent orchestration. We present the Natural Language Knowledge Graph Query (NLKGQ) system, a framework and development process that enables natural language access to metadata in such archives. The framework includes a web interface that helps researchers pose na...
| Authors | Blake G. Fitch, Cato Elia Kurtz |
|---|---|
| Primary category | cs.DB |
| Published | 20 July 2026 |
| Last updated at source | 10 September 2026 |
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