Case Study
Context
A user-driven neuro-symbolic approach to transform relational database data into knowledge graphs. Users connect to a database, upload ontologies, and the system generates mapping rules linking table columns to ontology predicates — with an early retrieval system (built in February 2022) providing only relevant context to the model. Reduces user interaction time by nearly half, independent of experience level. Built with Next.js and a Python backend.
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