Leave No Valuable Data Behind: The Crazy Ideas and the Business
Summary: Scale-focused knowledge fusion with calibrated confidence: Knowledge Vault uses 15 extractors on 1B+ pages to yield 3B+ S-P-O triples with calibrated probabilities. Knowledge-Based Trust scores 119M pages and 5.6M sites by factual correctness, enabling business deployment and bridging to real-world data beyond the Knowledge Graph. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Xin Luna Dong (Amazon)
BibTeX Citation
@article{dong_vldb16,
title = {{Leave No Valuable Data Behind: The Crazy Ideas and the Business}},
author = {Dong, Xin Luna},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {13},
pages = {1621},
doi = {10.14778/3007263.3007326},
url = {https://doi.org/10.14778/3007263.3007326},
year = {2016}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,522 | Knowledge Verification for Long-Tail Verticals | 2017 | VLDB | 5.8518748e-05 |
| 8,921 | Generations of Knowledge Graphs: The Crazy Ideas and the Business Impact | 2023 | VLDB | 5.3483178e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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