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Multilingual Schema Matching for Wikipedia Infoboxes

Summary: Automated, training-free multilingual schema matching for Wikipedia infobox attributes; language-agnostic, not relying on lexical similarity or morphology. Evaluation on Portuguese, Vietnamese, English shows high precision/recall and improved cross-language query answers, scalable to many language pairs including underrepresented ones. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10558
Venue
VLDB
Year
2012
Pagerank
6.8239452e-05
Overall Rank
4,220 | 71.05%
DOI
10.14778/2078324.2078329

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{nguyen_vldb12,
        title = {{Multilingual Schema Matching for Wikipedia Infoboxes}},
        author = {Nguyen, Thanh and Moreira, Viviane and Nguyen, Huong and Nguyen, Hoa and Freire, Juliana},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {2},
        pages = {133},
        doi = {10.14778/2078324.2078329},
        url = {https://doi.org/10.14778/2078324.2078329},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
1,057 YAGO3: A Knowledge Base from Multilingual Wikipedias 2015 CIDR 0.00012387149
12,242 Knowledge Harvesting in the Big-Data Era 2013 SIGMOD 5.093636e-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
699 Data Integration with Uncertainty 2007 VLDB 0.0001487423
1,158 Schema and Ontology Matching with COMA++ 2005 SIGMOD 0.00011899424
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