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
- 2. Hiba Arnaout
- 3. Shrestha Ghosh
- 4. Fabian Suchanek
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,602 | Partial Results in Database Systems | 2014 | SIGMOD | 8.4256834e-05 |
| 5,471 | Mining an "Anti-Knowledge Base" from Wikipedia Updates with Applications to Fact Checking and Beyond | 2020 | VLDB | 6.2747651e-05 |
| 7,383 | CYADB: A Database that Covers Your Ask | 2018 | VLDB | 5.6897772e-05 |
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