Pinned Repositories
DS4DM-Backend
MannheimSearchJoinsEngine
Search Joins are an approach of enriching a data table with matching columns from a corpus of 3.5 billion triples extracted from over a million websites.
winter
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.
winter
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.
cross-lingual-product-matching
contrastive-product-matching
This repository contains the code to reproduce the experiments of the poster "Supervised Contrastive Learning for Product Matching"
jointbert
This repository contains the code and data download links to reproduce the experiments of the PVLDB paper "Dual-Objective Fine-Tuning of BERT for Entity Matching" by Ralph Peeters and Christian Bizer.
MatchGPT
This repository contains code and extensive prompt examples to reproduce and extend the experiments in our papers "Using ChatGPT for Entity Matching" and "Entity Matching using Large Language Models".
TabAnnGPT
This repository contains code and data for reproducing the experiments of three papers that focus on two subtasks of table annotation: column type annotation (CTA) the task of annotating table columns with semantic types from pre-defined vocabularies and column property annotation (CPA) the task of annotating the relationships between two columns.
wdcproducts
This repository contains the code and data download links to reproduce building the WDC Products Benchmark.
bizer's Repositories
bizer/DS4DM-Backend
bizer/MannheimSearchJoinsEngine
Search Joins are an approach of enriching a data table with matching columns from a corpus of 3.5 billion triples extracted from over a million websites.
bizer/winter
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.