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PARIS: Probabilistic Alignment of Relations, Instances, and Schema

Summary: Jointly aligns instances, relations, and classes; instance- and schema-level alignments mutually reinforce each other. A parameter-free probabilistic approach enabling scalable, high-precision ontology integration on large ontologies (≈90% precision). (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10393
Venue
VLDB
Year
2012
Pagerank
0.00011085347
Overall Rank
1,628 | 88.68%
DOI
-

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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
1,950 Leveraging Data and Structure in Ontology Integration 2007 SIGMOD 9.9756731e-05
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