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.
A tool facilitating matching for any dataset discovery method. Also, an extensible experiment suite for state-of-the-art schema matching methods.
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
AgreementMaker Ontology Matching System
A python tool using XGboost and sentence-transformers to perform schema matching task on tables.
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.
Functional and structural analysis of tables in research papers (Table disentangling)
🌮 Table-based KB Completer
Master thesis - reproducing state-of-the-art schema matching algorithms
Valentine scalable deployment for VLDB demo
Data Integration - Schema Matching & Mapping
Python client for the Serene Data Integration software
Knowledge Graph-based Retrieval-Augmented Generation for Schema Matching
Master thesis: Holistic Schema Matching at Scale
Repository for developing and evaluating components and algorithms for data integration tasks
Projects for the course Data Engineering held by professor Paolo Merialdo at Roma Tre University.
Benchmark to evaluate schema matching approaches
The Master Project of Aldi Doanta Kurnia - Master Computer Science student at the University of Twente.
An integrated research and patent information system.
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