RECA: Related Tables Enhanced Column Semantic Type Annotation Framework
Summary: RECA annotates column semantic types by aligning schema-similar, topic-relevant tables via a novel named-entity schema. Its architecture naturally scales to wide tables while exploiting inter-table context, substantially outperforming prior methods on web-table benchmarks. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
BibTeX Citation
@article{sun_vldb23,
title = {{RECA: Related Tables Enhanced Column Semantic Type Annotation Framework}},
author = {Sun, Yushi and Xin, Hao and Chen, Lei},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {6},
pages = {1319--1331},
doi = {10.14778/3583140.3583149},
url = {https://doi.org/10.14778/3583140.3583149},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,028 | Are Large Language Models a Good Replacement of Taxonomies? | 2024 | VLDB | 5.6012052e-05 |
| 9,263 | Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables | 2025 | SIGMOD | 5.1860131e-05 |
| 9,838 | Retrieve-and-Verify: A Table Context Selection Framework for Accurate Column Annotations | 2026 | SIGMOD | 5.1064323e-05 |
| 10,409 | SemDistill: Bootstrapping a Low-Latency, Low-Cost Semantic Table Annotator from Noisy LLM | 2027 | SIGMOD | 4.9605343e-05 |
| 10,745 | Qualitative Join Discovery in Data Lakes using Examples | 2026 | SIGMOD | 4.9605343e-05 |
| 11,365 | LLMLog: Advanced Log Template Generation via LLM-driven Multi-Round Annotation | 2025 | VLDB | 4.9605343e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 95 | Potter's Wheel: An Interactive Data Cleaning System | 2001 | VLDB | 0.00034319763 |
| 366 | TURL: Table Understanding through Representation Learning | 2021 | VLDB | 0.00019902067 |
| 753 | Recovering Semantics of Tables on the Web | 2011 | VLDB | 0.00014228161 |
| 1,690 | Annotating Columns with Pre-trained Language Models | 2022 | SIGMOD | 9.8426663e-05 |
| 1,985 | Sato: Contextual Semantic Type Detection in Tables | 2020 | VLDB | 9.2378767e-05 |
| 2,097 | Open Data Integration | 2018 | VLDB | 9.0397587e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 3,257 | InfoGather+: Semantic Matching and Annotation of Numeric and Time-Varying Attributes in Web Tables | 2013 | SIGMOD |
| 2 | 314 | Annotating and Searching Web Tables Using Entities, Types and Relationships | 2010 | VLDB |
| 3 | 4,335 | ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models | 2024 | VLDB |
| 4 | 8,161 | Watchog: A Light-weight Contrastive Learning based Framework for Column Annotation | 2023 | SIGMOD |
| 5 | 9,278 | Making Table Understanding Work in Practice | 2022 | CIDR |
| 6 | 3,618 | TEGRA: Table Extraction by Global Record Alignment | 2015 | SIGMOD |
| 7 | 1,600 | ReAcTable: Enhancing ReAct for Table Question Answering | 2024 | VLDB |
| 8 | 1,985 | Sato: Contextual Semantic Type Detection in Tables | 2020 | VLDB |
| 9 | 753 | Recovering Semantics of Tables on the Web | 2011 | VLDB |
| 10 | 9,838 | Retrieve-and-Verify: A Table Context Selection Framework for Accurate Column Annotations | 2026 | SIGMOD |