A-Tree: A Dynamic Data Structure for Efficiently Indexing Arbitrary Boolean Expressions
Summary: Proposes A-Tree, a dynamic, multirooted index for arbitrary Boolean expressions that shares predicates and subexpressions to avoid exponential expansion. Self-adjusting, with event-matching optimizations, it outperforms existing arbitrary- and conjunctive-expression matchers in memory, time, and index construction. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Shuping Ji (Institute of Software, Chinese Academy of Sciences)
- 2. Hans-Arno Jacobsen (University of Toronto)
BibTeX Citation
@inproceedings{ji_sigmod21,
title = {{A-Tree: A Dynamic Data Structure for Efficiently Indexing Arbitrary Boolean Expressions}},
author = {Ji, Shuping and Jacobsen, Hans-Arno},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3457266},
url = {https://dl.acm.org/doi/10.1145/3448016.3457266},
year = {2021}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,893 | Optimizing Disjunctive Queries with Tagged Execution | 2024 | SIGMOD | 5.3504579e-05 |
| 10,520 | Efficient Temporal Subgraph Management: A New Interval Index | 2026 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 18 of 18 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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