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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
- 12997
- Venue
- VLDB
- Year
- 2023
- Pagerank
- 4.1905499e-05
- Overall Rank
- 11,232 | 21.94%
- DOI
-
10.14778/3583140.3583148
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Incoming Citations (Sorted by Pagerank)
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| 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 |
| 219 |
Deep Entity Matching with Pre-Trained Language Models |
2021 |
VLDB |
0.00033354456 |
| 252 |
Snorkel: Rapid Training Data Creation with Weak Supervision |
2018 |
VLDB |
0.00030532082 |
| 293 |
Deep Learning for Entity Matching: A Design Space Exploration |
2018 |
SIGMOD |
0.00028661817 |
| 304 |
Generic Schema Matching with Cupid |
2001 |
VLDB |
0.00028282278 |
| 383 |
COMA - A system for flexible combination of schema matching approaches |
2002 |
VLDB |
0.00024802484 |
| 641 |
Corleone: Hands-Off Crowdsourcing for Entity Matching |
2014 |
SIGMOD |
0.00018759417 |
| 740 |
Distributed Representations of Tuples for Entity Resolution |
2018 |
VLDB |
0.00017358024 |
| 968 |
Schema and Ontology Matching with COMA++ |
2005 |
SIGMOD |
0.00014941789 |
| 1,914 |
Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks |
2020 |
SIGMOD |
0.00010111859 |
| 2,176 |
Falcon: Scaling Up Hands-Off Crowdsourced Entity Matching to Build Cloud Services |
2017 |
SIGMOD |
9.3729351e-05 |
| 2,366 |
Data Market Platforms: Trading Data Assets to Solve Data Problems |
2020 |
VLDB |
8.9521259e-05 |
| 2,758 |
A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching |
2020 |
SIGMOD |
8.1668285e-05 |
| 3,020 |
Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning |
2015 |
VLDB |
7.6987905e-05 |
| 3,057 |
ZeroER: Entity Resolution using Zero Labeled Examples |
2020 |
SIGMOD |
7.6458287e-05 |
| 3,826 |
Automatic Discovery of Attributes in Relational Databases |
2011 |
SIGMOD |
6.7204879e-05 |
| 4,462 |
Magellan: Toward Building Entity Matching Management Systems over Data Science Stacks |
2016 |
VLDB |
6.1566477e-05 |
| 5,257 |
Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale |
2019 |
SIGMOD |
5.5975788e-05 |
| 5,872 |
Demonstration of Panda: A Weakly Supervised Entity Matching System |
2021 |
VLDB |
5.2908178e-05 |
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