Partitioning A Relational Database Horizontally Using A Knowledge-Based Approach
Summary: Knowledge-based horizontal partitioning of relational DBs via inference on user queries. Revised queries yield tighter user-reference clusters than originals; extends first-order calculus to encode queries and knowledge, with an example and soundness notes. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
BibTeX Citation
@inproceedings{shim_sigmod85,
title = {{PARTITIONING A RELATIONAL DATABASE HORIZONTALLY USING A KNOWLEDGE-BASED APPROACH}},
author = {Shim, D G and Irani, K B},
series = {{SIGMOD} '85},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/318898.318906},
url = {https://dl.acm.org/doi/10.1145/318898.318906},
year = {1985}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,666 | Supporting Table Partitioning By Reference in Oracle | 2008 | SIGMOD | 8.2764713e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,669 | Distributing A Database For Parallelism | 1983 | SIGMOD | 7.2118979e-05 |
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