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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
10032
Venue
VLDB
Year
2009
Pagerank
6.2001088e-05
Overall Rank
5,492 | 62.33%
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
878 Table Union Search on Open Data 2018 VLDB 0.00013463374
1,497 Generic Schema Matching, Ten Years Later 2011 VLDB 0.00010568859
1,751 Sample-Driven Schema Mapping 2012 SIGMOD 9.838446e-05
2,216 Open Data Integration 2018 VLDB 8.9374127e-05
8,217 Automated Migration of Hierarchical Data to Relational Tables using Programming-by-Example 2018 VLDB 5.4644927e-05
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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.

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