Author

B. Fitch

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#artificial intelligence Preprint Sep 2026

Natural Language Knowledge Graph Query Execution: Leveraging Controlled Semantics in the LLM Context Window

Large Language Model (LLM) applications often transfer domain concepts into the model's context informally, through prompt prose, schema dumps, and examples. We show that for database queries, data model concepts pass to LLMs more effectively through representations whose vocabulary terms carry declared, machine-readab...

B. Fitch · 0 citations

#artificial intelligence Jul 2026

Natural Language Access to Domain-Specific Metadata: A Reusable Framework for LLM Query Generation

It is shown 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.

B. Fitch, Cato Elia Kurtz · arXiv.org · 0 citations