TYTAN: INTERACTIVE NEUROSYMBOLIC CONSTRUCTION OF ANALYTIC SEMANTIC SCHEMAS FROM RELATIONAL DATA

Summary from the TLDR Data newsletter

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.