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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
9842
Venue
VLDB
Year
2009
Pagerank
5.4194791e-05
Overall Rank
5,586 | 61.18%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
1,179 Table Union Search on Open Data 2018 VLDB 0.00013458551
1,527 Generic Schema Matching, Ten Years Later 2011 VLDB 0.00011494604
2,081 Sample-Driven Schema Mapping 2012 SIGMOD 9.58883e-05
2,737 Open Data Integration 2018 VLDB 8.2053894e-05
8,104 Automated Migration of Hierarchical Data to Relational Tables using Programming-by-Example 2018 VLDB 4.5815095e-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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