Query and Update Efficient B+-Tree Based Indexing of Moving Objects
Summary: Proposes a B+-tree index for moving objects by linearizing timestamped positions, letting one tree partition by time while preserving spatial locality and avoiding R-tree concurrency costs. Supports range, kNN, and continuous queries; outperforms TPR-tree and integrates readily into existing DBMS. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Christian S. Jensen
- 2. Dan Lin
- 3. Beng Chin Ooi
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,767 | Dynamic Indexability and Lower Bounds for Dynamic One-Dimensional Range Query Indexes | 2009 | PODS | 4.456315e-05 |
| 1,766 | Indexing Moving Points (Extended Abstract) | 2000 | PODS | 0.000106236 |
| 4,692 | Supporting Frequent Updates in R-Trees: A Bottom-Up Approach | 2003 | VLDB | 5.9958252e-05 |
| 9,256 | An Adaptive Updating Protocol for Reducing Moving Object Database Workload | 2010 | VLDB | 4.3690661e-05 |
| 4,683 | ST2B-tree: A Self-Tunable Spatio-Temporal B+-tree Index for Moving Objects | 2008 | SIGMOD | 6.0010961e-05 |
| 12,411 | Towards Efficient Main-Memory Use For Optimum Tree Index Update | 2008 | VLDB | 4.1945683e-05 |
| 7,365 | Effectively Indexing Uncertain Moving Objects for Predictive Queries | 2009 | VLDB | 4.7517889e-05 |
| 6,819 | Workload-Aware Indexing of Continuously Moving Objects | 2009 | VLDB | 4.9158166e-05 |
| 631 | Indexing the Positions of Continuously Moving Objects | 2000 | SIGMOD | 0.00018935493 |
| 2,541 | Novel Approaches to the Indexing of Moving Object Trajectories | 2000 | VLDB | 8.5795657e-05 |