Probabilistic Management of OCR Data using an RDBMS
Summary: Retains OCR’s probabilistic alternatives in an RDBMS rather than collapsing them to error-prone text, enabling uncertainty-aware queries. STACCATO approximates these models to trade recall for performance and integrates with standard text indexes. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Arun Kumar (University of Wisconsin)
- 2. Christopher Ré (University of Wisconsin)
BibTeX Citation
@article{kumar_vldb12,
title = {{Probabilistic Management of OCR Data using an RDBMS}},
author = {Kumar, Arun and Ré, Christopher},
journal = {PVLDB},
series = {{VLDB} '12},
volume = {5},
number = {4},
pages = {322},
doi = {10.14778/2095686.2095691},
url = {https://doi.org/10.14778/2095686.2095691},
year = {2012}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,306 | Local Structure and Determinism in Probabilistic Databases | 2012 | SIGMOD | 5.6499367e-05 |
| 8,979 | Cerebro: A Layered Data Platform for Scalable Deep Learning | 2021 | CIDR | 5.3399615e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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