Answering Table Augmentation Queries from Unstructured Lists on the Web [Extended Abstract]
Summary: An unsupervised system augments tables from a few example rows by retrieving, segmenting, schema-mapping, and consolidating noisy Web lists. Novel statistical ranking reconstructs target relations from arbitrary schemas without supervision, achieving strong results on Wikipedia tables. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rahul Gupta (Indian Institute of Technology Mumbai)
- 2. Sunita Sarawagi (Indian Institute of Technology Mumbai)
BibTeX Citation
@article{gupta_vldb09,
title = {{Answering Table Augmentation Queries from Unstructured Lists on the Web [Extended Abstract]}},
author = {Gupta, Rahul and Sarawagi, Sunita},
journal = {PVLDB},
series = {{VLDB} '09},
doi = {10.14778/1687627.1687661},
url = {https://doi.org/10.14778/1687627.1687661},
year = {2009}
}
Incoming Citations (Sorted by Pagerank)
Showing 12 of 12 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 158 | Robust and Efficient Fuzzy Match for Online Data Cleaning | 2003 | SIGMOD | 0.00028199923 |
| 680 | Creating Probabilistic Databases from Information Extraction Models | 2006 | VLDB | 0.0001504854 |
| 1,316 | Harvesting Relational Tables from Lists on the Web | 2009 | VLDB | 0.00011181216 |
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