BE-Tree: An Index Structure to Efficiently Match Boolean Expressions over High-dimensional Discrete Space
Summary: BE-Tree: dynamic index for efficient Boolean-expr matching in high-dim discrete spaces. 2-phase space-cutting leverages discrete-domain properties; self-adjusting policies adapt to workloads; evaluation shows superiority over top Boolean indexes. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mohammad Sadoghi (University of Toronto)
- 2. Hans-Arno Jacobsen (University of Toronto)
BibTeX Citation
@inproceedings{sadoghi_sigmod11,
title = {{BE-Tree: An Index Structure to Efficiently Match Boolean Expressions over High-dimensional Discrete Space}},
author = {Sadoghi, Mohammad and Jacobsen, Hans-Arno},
series = {{SIGMOD} '11},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1989323.1989390},
url = {https://dl.acm.org/doi/10.1145/1989323.1989390},
year = {2011}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,650 | SKYPE: Top-k Spatial-keyword Publish/Subscribe Over Sliding Window | 2016 | VLDB | 6.5863543e-05 |
| 6,861 | An Efficient Publish/Subscribe Index for E-Commerce Databases | 2014 | VLDB | 5.7517379e-05 |
| 7,042 | Location-Aware Pub/Sub System: When Continuous Moving Queries Meet Dynamic Event Streams | 2015 | SIGMOD | 5.7189999e-05 |
| 8,577 | A-Tree: A Dynamic Data Structure for Efficiently Indexing Arbitrary Boolean Expressions | 2021 | SIGMOD | 5.409313e-05 |
| 9,400 | PS-Tree-Based Efficient Boolean Expression Matching for High-Dimensional and Dense Workloads | 2019 | VLDB | 5.2755515e-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 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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