Tytan: Interactive Neurosymbolic Construction of Analytic Semantic Schemas from Relational Data

AI Digest - ArXiv AI

Tytan: Interactive Neurosymbolic Construction of Analytic Semantic Schemas from Relational Data

From natural-language query interfaces to automated report generation, data analysis tools need a description of the data: the real-world entities it contains, which columns function as measures or identifiers, and how tables connect into units of analysis. Today, this semantic layer is usually written by hand. This is a knowledge-acquisition bottleneck that limits the scalability of analytic systems, keeps non-technical users dependent on experts, and is itself error-prone. We present TYTAN, a

Source: ArXiv AI