BLAST: a Loosely Schema-aware Meta-blocking Approach for Entity Resolution
Summary: BLAST is a loosely schema-aware meta-blocking method for entity resolution using data-derived stats to improve blocks beyond schema-agnostic methods. LSH-based extraction scales to large data, delivering better coverage and beating unsupervised meta-blocking. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,036 | The return of JedAI: End-to-End Entity Resolution for Structured and Semi-Structured Data | 2018 | VLDB | 9.7066333e-05 |
| 3,469 | Deep Learning for Blocking in Entity Matching: A Design Space Exploration | 2021 | VLDB | 7.0629476e-05 |
| 4,965 | BEER: Blocking for Effective Entity Resolution | 2021 | SIGMOD | 5.7951166e-05 |
| 5,034 | Deep Indexed Active Learning for Matching Heterogeneous Entity Representations | 2022 | VLDB | 5.741974e-05 |
| 6,691 | Parallel Discrepancy Detection and Incremental Detection | 2021 | VLDB | 4.9573939e-05 |
| 7,667 | Human-in-the-loop Data Integration | 2017 | VLDB | 4.6791871e-05 |
| 9,846 | HyperBlocker: Accelerating Rule-based Blocking in Entity Resolution using GPUs | 2025 | VLDB | 4.2680295e-05 |
| 11,375 | Generalized Supervised Meta-blocking | 2022 | VLDB | 4.1905499e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 125 | Approximate String Joins in a Database (Almost) for Free | 2001 | VLDB | 0.00044946098 |
| 394 | Big Data Integration | 2013 | VLDB | 0.0002447017 |
| 1,146 | Web-scale Data Integration: You can only afford to Pay As You Go | 2007 | CIDR | 0.0001367088 |
| 4,967 | Supervised Meta-blocking | 2014 | VLDB | 5.7939544e-05 |
| 5,219 | Schema-agnostic vs Schema-based Configurations for Blocking Methods on Homogeneous Data | 2016 | VLDB | 5.6196254e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,558 | Pre-trained Embeddings for Entity Resolution: An Experimental Analysis | 2023 | VLDB | 5.0060112e-05 |
| 7,135 | Sparkly: A Simple yet Surprisingly Strong TF/IDF Blocker for Entity Matching | 2023 | VLDB | 4.8171662e-05 |
| 11,050 | Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution | 2024 | VLDB | 4.1905499e-05 |
| 4,965 | BEER: Blocking for Effective Entity Resolution | 2021 | SIGMOD | 5.7951166e-05 |
| 3,469 | Deep Learning for Blocking in Entity Matching: A Design Space Exploration | 2021 | VLDB | 7.0629476e-05 |
| 1,408 | Entity Resolution with Iterative Blocking | 2009 | SIGMOD | 0.00012162791 |
| 4,967 | Supervised Meta-blocking | 2014 | VLDB | 5.7939544e-05 |
| 5,219 | Schema-agnostic vs Schema-based Configurations for Blocking Methods on Homogeneous Data | 2016 | VLDB | 5.6196254e-05 |
| 11,375 | Generalized Supervised Meta-blocking | 2022 | VLDB | 4.1905499e-05 |
| 2,449 | Comparative Analysis of Approximate Blocking Techniques for Entity Resolution | 2016 | VLDB | 8.7909961e-05 |