schema-mapping

MetaConfigurator is a JSON Schema Editor and Form Generator with AI assistance. It can also generate Code and Documentation from schemas.

A .NET class library that allows you to import data from different sources into a unified destination

an open-source data management platform for knowledge workers (https://github.com/dswarm/dswarm-documentation/wiki)

A python tool using XGboost and sentence-transformers to perform schema matching task on tables.

Valentine scalable deployment for VLDB demo

This project is a data facade between your application and internal or external data provider.

Generate accurate and efficient dataflow to streamline software and data integration.

AI-powered NLP pipeline that standardizes messy GST datasets into a unified 61-field schema using semantic embeddings. Built during EY internship to automate tax data ingestion across inconsistent client formats.

Master thesis: Holistic Schema Matching at Scale ⚠️ Development for this project has been moved to https://github.com/delftdata/valentine-system

Fast, low-memory reading and writing of csv, Excel (.xlsx) and OpenDocument (.ods) files for .NET, with no dependencies. Read: profile every column, map, validate, import typed rows with located errors, also from zip/tar/gzip. Write: async, streamed csv, xlsx, ods or zip, styled workbooks, every value checked to read back.

Semantically Enriched Knowledge Graph for Linking Research Data Repositories in Lower Saxony

AI-native SaaS platform that consolidates fragmented business data (PDF, Excel, CSV) into unified schemas using LLMs, semantic vector matching, and a gamified onboarding experience.

Transform every json document to json-ld

This repo contains DataKind's experimental work on AI-assisted schema mapping

A new package designed to streamline and automate the correction of imperfect OpenAPI specifications by analyzing user-provided textual descriptions and extracting structured insights. It processes te

A gold standard dataset for matching large knowledge graphs

Mapping vocabulary and structural correspondence rules for the Structural Explainability (SE) ecosystem.

AI-assisted data migration mapping tool for Microsoft Dynamics 365 - parse legacy schemas, auto-map fields with Claude AI, manage SME approvals, and export STTM documents as PDF, Excel, JSON, or Python scripts.

Maps ER schemas to OWL ontologies