A Human-in-the-Loop Workflow for Scientific Schema Mining with Large Language Models
[EDBT26] PG-HIVE: Hybrid Incremental Schema Discovery for Property Graphs
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 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.
Master Thesis: Partial RDF Schema Retrieval
A module in development which enabled quick partial schema discovery of a CSV dataset with potential visual chart representations.
Evidence-based NL query & data discovery for schema-less CSV data lakes. No DDL or schema required. Hybrid retrieval, hallucination guard, and full audit trail. VLDB 2026 Demo.
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