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The Cartographer
A compressed dynamic self-index for highly repetitive text collections
November 08, 2017 Β· Declared Dead Β· π Information and Computation
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Authors
Takaaki Nishimoto, Yoshimasa Takabatake, Yasuo Tabei
arXiv ID
1711.02855
Category
cs.DS: Data Structures & Algorithms
Citations
3
Venue
Information and Computation
Last Checked
4 months ago
Abstract
We present a novel compressed dynamic self-index for highly repetitive text collections. Signature encoding is a compressed dynamic self-index for highly repetitive texts and has a large disadvantage that the pattern search for short patterns is slow. We improve this disadvantage for faster pattern search by leveraging an idea behind truncated suffix tree and present the first compressed dynamic self-index named TST-index that supports not only fast pattern search but also dynamic update operation of index for highly repetitive texts. Experiments using a benchmark dataset of highly repetitive texts show that the pattern search of TST-index is significantly improved.
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