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AgreementMaker: Efficient Matching for Large Real-World Schemas and Ontologies

Summary: AgreementMaker offers a matching framework for large schemas and ontologies, with manual and automatic methods at conceptual and structural levels. It evaluates, combines results with recall, precision, and runtime metrics via a UI-driven control panel. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h24f970074d759b0c
Venue
VLDB
Year
2009
Pagerank
5.5227353e-05
Overall Rank
7,455 | 49.88%
DOI
10.14778/1687553.1687598

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{cruz_vldb09,
        title = {{AgreementMaker: Efficient Matching for Large Real-World Schemas and Ontologies}},
        author = {Cruz, Isabel F. and Antonelli, Flavio Palandri and Stroe, Cosmin},
        journal = {PVLDB},
        series = {{VLDB} '09},
        doi = {10.14778/1687553.1687598},
        url = {https://doi.org/10.14778/1687553.1687598},
        year = {2009}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
1,505 Generic Schema Matching, Ten Years Later 2011 VLDB 0.00010454635
9,291 Knowledge Translation 2020 VLDB 5.2003084e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1,146 Schema and Ontology Matching with COMA++ 2005 SIGMOD 0.00011815973
1,993 Clio: A Semi-Automatic Tool For Schema Mapping 2001 SIGMOD 9.2222424e-05
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