A Human-in-the-Loop Workflow for Scientific Schema Mining with Large Language Models
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Updated
Sep 23, 2025 - Jupyter Notebook
A Human-in-the-Loop Workflow for Scientific Schema Mining with Large Language Models
A specialized MCP (Model Context Protocol) server for PostgreSQL that enables AI assistants to perform database operations through natural language. Built with TypeScript, featuring schema discovery, safe SQL execution, and multiple output formats.
Auto-generates REST APIs from your database with Spring Boot. It supports CRUD, filtering, relationship expansion, batch ops, and OpenAPI docs — no boilerplate required.
A module in development which enabled quick partial schema discovery of a CSV dataset with potential visual chart representations.
Master Thesis: Partial RDF Schema Retrieval
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