VersaMatch: Ontology Matching with Weak Supervision

Summary: VersaMatch: a weakly-supervised ontology matcher that synthesizes labels from heuristics, pattern rules, and external KBs to train discriminative models without manual annotation. At prediction it ensembles weak sources with the discriminator, improving F1 ≈+4pts vs weak‑supervision baselines and ≈+9pts on recent in‑the‑wild datasets. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: h532df53174cf44c3
Venue: VLDB
Year: 2023
Pagerank: 4.9793485e-05
Overall Rank: 11,744 | 21.04%
DOI: 10.14778/3583140.3583148

Incoming Non-self Citations Over Time

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Authors

1. Jonathan Fürst (NEC Corporation; Zurich University of Applied Sciences)
2. Mauricio Fadel Argerich (NEC Corporation; Universidad Politécnica de Madrid)
3. Bin Cheng (NEC Corporation; Springer Nature)

BibTeX Citation

@article{furst_vldb23,
        title = {{VersaMatch: Ontology Matching with Weak Supervision}},
        author = {Fürst, Jonathan and Argerich, Mauricio Fadel and Cheng, Bin},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {6},
        pages = {1305--1318},
        doi = {10.14778/3583140.3583148},
        url = {https://doi.org/10.14778/3583140.3583148},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 18 of 18 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
134	Deep Entity Matching with Pre-Trained Language Models	2021	VLDB	0.00030043481
158	Deep Learning for Entity Matching: A Design Space Exploration	2018	SIGMOD	0.00028046388
205	Snorkel: Rapid Training Data Creation with Weak Supervision	2018	VLDB	0.00025181304
296	Generic Schema Matching with Cupid	2001	VLDB	0.00021867512
407	COMA - A system for flexible combination of schema matching approaches	2002	VLDB	0.00019026291
433	Corleone: Hands-Off Crowdsourcing for Entity Matching	2014	SIGMOD	0.00018332741
457	Distributed Representations of Tuples for Entity Resolution	2018	VLDB	0.00017907103
1,146	Schema and Ontology Matching with COMA++	2005	SIGMOD	0.00011815973
1,391	Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks	2020	SIGMOD	0.00010816237
1,654	Falcon: Scaling Up Hands-Off Crowdsourced Entity Matching to Build Cloud Services	2017	SIGMOD	9.9739611e-05
1,845	Data Market Platforms: Trading Data Assets to Solve Data Problems	2020	VLDB	9.5136397e-05
2,323	ZeroER: Entity Resolution using Zero Labeled Examples	2020	SIGMOD	8.6348884e-05
2,475	A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching	2020	SIGMOD	8.410678e-05
2,642	Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning	2015	VLDB	8.1778168e-05
3,470	Automatic Discovery of Attributes in Relational Databases	2011	SIGMOD	7.2765721e-05
3,843	Magellan: Toward Building Entity Matching Management Systems over Data Science Stacks	2016	VLDB	6.987246e-05
5,181	Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale	2019	SIGMOD	6.2406557e-05
6,165	Demonstration of Panda: A Weakly Supervised Entity Matching System	2021	VLDB	5.8635301e-05

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