schema-matching

A tool facilitating matching columns across tabular datasets. It also serves as an experiment suite for state-of-the-art schema matching methods.

WInte.r is a Java framework for end-to-end data integration. The WInte.r framework implements well-known methods for data pre-processing, schema matching, identity resolution, data fusion, and result evaluation.

Entity linking, entity typing and relation extraction: Matching CSV to a Wikibase instance (e.g., Wikidata) via Meta-lookup

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

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

AgreementMaker Ontology Matching System

Match schema attributes of relational databases by value similarity. As a study assignment, this isn't well documented, but you can contact me for questions and I may even add docs, if I sense enough interest.

The PyDI framework provides methods for end-to-end data integration. The framework covers all steps of the integration process, including schema matching, data translation, entity matching, and data fusion. The framework offers traditional string-based methods as well as modern LLM- and embedding-based techniques for these tasks.

Functional and structural analysis of tables in research papers (Table disentangling)

Knowledge Graph-based Retrieval-Augmented Generation for Schema Matching

[VLDB '25] Magneto combines small and large language models to provide cost-effective schema matching.

Valentine scalable deployment for VLDB demo

🌮 Table-based KB Completer

Master thesis - reproducing state-of-the-art schema matching algorithms

Data Integration - Schema Matching & Mapping

CLI tool for inserting SELECT query results into ClickHouse with automatic schema matching and type-safe casting. Ideal for ETL pipelines and SQL-driven data flows.

Resolves misspelled or hallucinated parameter names against target JSON schema properties using Levenshtein distance

Resolves misspelled or hallucinated parameter names against target JSON schema properties using Levenshtein distance

Python client for the Serene Data Integration software

[Information System] SMUTF: Schema Matching Using Generative Tags and Hybrid Features