TLDR Tech / Data
Tytan: Interactive Neurosymbolic Construction of Analytic Semantic Schemas from Relational Data
TYTAN automatically builds analytic semantic schemas from relational or tabular data by combining LLM-based semantic inference with deterministic checks of keys, joins, types, and values, asking users only when ambiguity remains. Across eight databases, it achieved full reference coverage, 100% execution of 3,758 retrieval tests, and 92–100% semantic-role agreement.
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