DBScholar

Back to papers

HAMSTER: Using Search Clicklogs for Schema and Taxonomy Matching

Summary: Unsupervised schema matching to integrate many sources into a warehouse schema via clicklogs. HAMSTER uses click-through distributions over keyword-queries to align schema elements; outperforms traditional schema- and instance-based matching. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h74061b2d024d89ae
Venue
VLDB
Year
2009
Pagerank
6.1035636e-05
Overall Rank
5,498 | 63.04%
DOI
10.14778/1687627.1687649

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{nandi_vldb09,
        title = {{HAMSTER: Using Search Clicklogs for Schema and Taxonomy Matching}},
        author = {Nandi, Arnab and Bernstein, Philip A.},
        journal = {PVLDB},
        series = {{VLDB} '09},
        doi = {10.14778/1687627.1687649},
        url = {https://doi.org/10.14778/1687627.1687649},
        year = {2009}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
765 Table Union Search on Open Data 2018 VLDB 0.00014125424
1,505 Generic Schema Matching, Ten Years Later 2011 VLDB 0.00010454635
1,776 Sample-Driven Schema Mapping 2012 SIGMOD 9.6674087e-05
2,158 Open Data Integration 2018 VLDB 8.941016e-05
8,381 Automated Migration of Hierarchical Data to Relational Tables using Programming-by-Example 2018 VLDB 5.3428083e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers