On the Limits of Machine Knowledge: Completeness, Recall and Negation in Web-scale Knowledge Bases
Summary: Examines limits of web-scale KBs under partial closed-world semantics: completeness, recall, and negation; outlines foundations and inference. Identifies recall in KBs and text; estimates it statistically; surfaces negatives; enables comparative recall. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Simon Razniewski (Max Planck Institute)
- 2. Hiba Arnaout (Max Planck Institute)
- 3. Shrestha Ghosh (Max Planck Institute)
- 4. Fabian Suchanek (Institut Polytechnique de Paris)
BibTeX Citation
@article{razniewski_vldb21,
title = {{On the Limits of Machine Knowledge: Completeness, Recall and Negation in Web-scale Knowledge Bases}},
author = {Razniewski, Simon and Arnaout, Hiba and Ghosh, Shrestha and Suchanek, Fabian},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {12},
pages = {3175--3177},
doi = {10.14778/3476311.3476401},
url = {https://doi.org/10.14778/3476311.3476401},
year = {2021}
}
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,663 | Partial Results in Database Systems | 2014 | SIGMOD | 8.2818137e-05 |
| 5,548 | Mining an "Anti-Knowledge Base" from Wikipedia Updates with Applications to Fact Checking and Beyond | 2020 | VLDB | 6.1790655e-05 |
| 7,515 | CYADB: A Database that Covers Your Ask | 2018 | VLDB | 5.6029996e-05 |
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