An Extensible System for Merging Two Models

Summary: Introduces an extensible, generic model-merging operator driven by equality/similarity mappings, producing both a merged model and mappings from each input. Preserves semantic information for query translation, transformation, and inference across integration scenarios. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 9145
Venue: VLDB
Year: 2002
Pagerank: -
Overall Rank: 14,010 | 3.88%
DOI: -

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Authors

1. Rachel Pottinger (University of Washington)

BibTeX Citation

@article{pottinger_vldb02,
        title = {{An Extensible System for Merging Two Models}},
        author = {Pottinger, Rachel},
        journal = {PVLDB},
        series = {{VLDB} '02},
        year = {2002}
}

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