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Analyzing and Revising Data Integration Schemas to Improve Their Matchability

Summary: Introduces mSeer, which revises mediated schemas to improve matchability while preserving semantics. It scores matching quality, diagnoses obstacles, and suggests changes such as attribute renaming and value reformatting, validated on real-world domains. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
9904
Venue
VLDB
Year
2008
Pagerank
5.3321017e-05
Overall Rank
9,015 | 38.15%
DOI
10.14778/1454159.1454166

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{chai_vldb08,
        title = {{Analyzing and Revising Data Integration Schemas to Improve Their Matchability}},
        author = {Chai, Xiaoyong and Sayyadian, Mayssam and Doan, AnHai and Rosenthal, Arnon and Seligman, Len},
        journal = {PVLDB},
        series = {{VLDB} '08},
        volume = {1},
        number = {1},
        pages = {773--784},
        doi = {10.14778/1454159.1454166},
        url = {https://doi.org/10.14778/1454159.1454166},
        year = {2008}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
5,492 HAMSTER: Using Search Clicklogs for Schema and Taxonomy Matching 2009 VLDB 6.2001088e-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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