YAGO3: A Knowledge Base from Multilingual Wikipedias
Summary: Fuses multilingual Wikipedias with English WordNet and Wikidata to build a coherent YAGO3 KB, learning cross-lingual mappings for categories and infobox attributes across 10 languages. Achieves 95–100% attribute-mapping precision, adding ~1M entities and ~7M facts. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Farzaneh Mahdisoltani (Max Planck Institute)
- 2. Joanna Biega (Max Planck Institute)
- 3. Fabian M. Suchanek (Télécom Paris)
BibTeX Citation
@inproceedings{mahdisoltani_cidr15,
address = {Amsterdam, Netherlands},
series = {{CIDR} '15},
title = {{YAGO3: A Knowledge Base from Multilingual Wikipedias}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Mahdisoltani, Farzaneh and Biega, Joanna and Suchanek, Fabian M.},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
Showing 17 of 17 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 13 | Mining Association Rules between Sets of Items in Large Databases | 1993 | SIGMOD | 0.0006567919 |
| 2,086 | PARIS: Probabilistic Alignment of Relations, Instances, and Schema | 2012 | VLDB | 9.1930537e-05 |
| 4,220 | Multilingual Schema Matching for Wikipedia Infoboxes | 2012 | VLDB | 6.8239452e-05 |
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