SystemER: A Human-in-the-loop System for Explainable Entity Resolution
Summary: SystemER is a human-in-the-loop ER platform that learns interpretable matching rules across pipeline stages, enabling expert verification and customization with few labels via active learning. It supports flat/semistructured data and Spark-based scale-out. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kun Qian (IBM)
- 2. Lucian Popa (IBM)
- 3. Prithviraj Sen (IBM)
BibTeX Citation
@article{qian_vldb19,
title = {{SystemER: A Human-in-the-loop System for Explainable Entity Resolution}},
author = {Qian, Kun and Popa, Lucian and Sen, Prithviraj},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {12},
pages = {1794--1797},
doi = {10.14778/3352063.3352068},
url = {https://doi.org/10.14778/3352063.3352068},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,824 | Deep Indexed Active Learning for Matching Heterogeneous Entity Representations | 2022 | VLDB | 6.4914944e-05 |
| 4,940 | BEER: Blocking for Effective Entity Resolution | 2021 | SIGMOD | 6.4336209e-05 |
| 7,232 | Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications | 2023 | SIGMOD | 5.6659017e-05 |
| 11,586 | Frost: A Platform for Benchmarking and Exploring Data Matching Results | 2022 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 529 | Magellan: Toward Building Entity Matching Management Systems | 2016 | VLDB | 0.00017096361 |
| 2,623 | The return of JedAI: End-to-End Entity Resolution for Structured and Semi-Structured Data | 2018 | VLDB | 8.3327284e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 626 | Entity Resolution: Theory, Practice & Open Challenges | 2012 | VLDB |
| 2 | 489 | Distributed Representations of Tuples for Entity Resolution | 2018 | VLDB |
| 3 | 7,092 | FlexER: Flexible Entity Resolution for Multiple Intents | 2023 | SIGMOD |
| 4 | 10,318 | In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration | 2026 | SIGMOD |
| 5 | 2,290 | ZeroER: Entity Resolution using Zero Labeled Examples | 2020 | SIGMOD |
| 6 | 10,049 | Towards Interpretable and Learnable Risk Analysis for Entity Resolution | 2020 | SIGMOD |
| 7 | 11,598 | CERTEM: Explaining and Debugging Black-box Entity Resolution Systems with CERTA | 2022 | VLDB |
| 8 | 8,592 | Robust Entity Resolution using Random Graphs | 2018 | SIGMOD |
| 9 | 10,566 | ALER: An Active Learning Hybrid System for Efficient Entity Resolution | 2026 | VLDB |
| 10 | 5,830 | Exploiting Context Analysis for Combining Multiple Entity Resolution Systems | 2009 | SIGMOD |