Probase: A Probabilistic Taxonomy for Text Understanding
Summary: Universal, probabilistic taxonomy with 2.7M concepts learned from 1.68B web pages; models uncertainty instead of binary edges. Automatic, scalable construction enabling probabilistic text understanding at web scale; a data-management contribution in semantic knowledge modeling. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Wentao Wu (University of Wisconsin)
- 2. Hongsong Li (Microsoft)
- 3. Haixun Wang (Microsoft)
- 4. Kenny Q. Zhu (Shanghai Jiao Tong University)
BibTeX Citation
@inproceedings{wu_sigmod12,
title = {{Probase: A Probabilistic Taxonomy for Text Understanding}},
author = {Wu, Wentao and Li, Hongsong and Wang, Haixun and Zhu, Kenny Q.},
series = {{SIGMOD} '12},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2213836.2213891},
url = {https://dl.acm.org/doi/10.1145/2213836.2213891},
year = {2012}
}
Incoming Citations (Sorted by Pagerank)
Showing 34 of 34 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 65 | Freebase: A Collaboratively Created Graph Database For Structuring Human Knowledge | 2008 | SIGMOD | 0.00038697603 |
| 5,833 | Managing and Mining Large Graphs: Systems and Implementations | 2012 | SIGMOD | 6.072775e-05 |
| 7,896 | Optimizing Index for Taxonomy Keyword Search | 2012 | SIGMOD | 5.5201308e-05 |
| 12,389 | Web Scale Taxonomy Cleansing | 2011 | VLDB | 5.093636e-05 |
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