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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
10581
Venue
VLDB
Year
2012
Pagerank
9.1930537e-05
Overall Rank
2,086 | 85.69%
DOI
10.14778/1920841.1920842

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{suchanek_vldb12,
        title = {{PARIS: Probabilistic Alignment of Relations, Instances, and Schema}},
        author = {Suchanek, Fabian M. and Abiteboul, Serge and Senellart, Pierre},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {3},
        pages = {157--168},
        doi = {10.14778/1920841.1920842},
        url = {https://doi.org/10.14778/1920841.1920842},
        year = {2012}
}

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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
1,158 Schema and Ontology Matching with COMA++ 2005 SIGMOD 0.00011899424
2,252 Leveraging Data and Structure in Ontology Integration 2007 SIGMOD 8.8675372e-05
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