Dynamic Path-Decomposed Tries
Not on the map. Why?
Abstract (arXiv)
A keyword dictionary is an associative array whose keys are strings. Recent applications handling massive keyword dictionaries in main memory have a need for a space-efficient implementation. When limited to static applications, there are a number of highly-compressed keyword dictionaries based on the advancements of practical succinct data structures. However, as most succinct data structures are only efficient in the static case, it is still difficult to implement a keyword dictionary that is space efficient and dynamic. In this article, we propose such a keyword dictionary. Our main idea is to embrace the path decomposition technique, which was proposed for constructing cache-friendly tries. To store the path-decomposed trie in small memory, we design data structures based on recent compact hash trie representations. Experiments on real-world datasets reveal that our dynamic keyword dictionary needs up to 68% less space than the existing smallest ones, while achieving a relevant space-time tradeoff.
Key facts. Cited by 1 paper in the map (data through 13 Oct 2026). First posted on arXiv 14 Jun 2019.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2025: 1.
1 paper.
- 2025Dynamic Tree Databases in Automated Planningcited by 0
- 2025Dynamic Tree Databases in Automated Planning16 Nov 2025