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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
9820
Venue
VLDB
Year
2009
Pagerank
4.830186e-05
Overall Rank
7,105 | 50.58%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
1,527 Generic Schema Matching, Ten Years Later 2011 VLDB 0.00011499442
8,964 Knowledge Translation 2020 VLDB 4.4198627e-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
968 Schema and Ontology Matching with COMA++ 2005 SIGMOD 0.0001495703
1,596 Clio: A Semi-Automatic Tool For Schema Mapping 2001 SIGMOD 0.00011214591
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