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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
10370
Venue
VLDB
Year
2012
Pagerank
8.4694459e-05
Overall Rank
2,600 | 81.92%
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
804 YAGO3: A Knowledge Base from Multilingual Wikipedias 2015 CIDR 0.00016463579
12,044 Knowledge Harvesting in the Big-Data Era 2013 SIGMOD 4.1945683e-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
721 Data Integration with Uncertainty 2007 VLDB 0.00017570539
968 Schema and Ontology Matching with COMA++ 2005 SIGMOD 0.0001495703
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