HocoPG: A Database System with Homomorphic Compression for Text Processing
Summary: HocoPG embeds homomorphic compression into an RDBMS to execute basic text operations directly on compressed data, reducing costly decompression for large texts. It composes homomorphic operators to express complex text queries and provides an Admin tool to recommend optimal compression schemes. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Jiawei Guan (Renmin University of China)
- 2. Feng Zhang (Renmin University of China)
- 3. Yuxin Tang (Renmin University of China)
- 4. Weitang Ye (Renmin University of China)
- 5. Xiaoyong Du (Renmin University of China)
BibTeX Citation
@article{guan_vldb24,
title = {{HocoPG: A Database System with Homomorphic Compression for Text Processing}},
author = {Guan, Jiawei and Zhang, Feng and Tang, Yuxin and Ye, Weitang and Du, Xiaoyong},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {12},
pages = {4477--4480},
doi = {10.14778/3685800.3685904},
url = {https://doi.org/10.14778/3685800.3685904},
year = {2024}
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,244 | Efficient Index Compression in DB2 LUW | 2009 | VLDB | 7.6033499e-05 |
| 4,679 | Efficient Document Analytics on Compressed Data: Method, Challenges, Algorithms, Insights | 2018 | VLDB | 6.5683136e-05 |
| 11,425 | Homomorphic Compression: Making Text Processing on Compression Unlimited | 2023 | SIGMOD | 5.093636e-05 |
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