DBScholar

Back to papers

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)

Paper ID
10116
Venue
VLDB
Year
2009
Pagerank
0.0001001843
Overall Rank
1,684 | 88.45%
DOI
10.14778/1687627.1687661

Incoming Non-self Citations Over Time

Authors

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.

Previous Page 1 / 1 Next

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
Previous Page 1 / 1 Next

Semantically Similar Papers