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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)

Paper ID
12709
Venue
VLDB
Year
2021
Pagerank
5.093636e-05
Overall Rank
11,731 | 19.52%
DOI
10.14778/3476311.3476401

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Authors

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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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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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