A new class of string transformations for compressed text indexing

Introduced about thirty years ago in the field of data compression, the Burrows-Wheeler Transform (BWT) is a string transformation that, besides being a booster of the performance of memoryless compressors, plays a fundamental role in the design of efficient self-indexing compressed data structures....

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Vydané v:	Information and computation Ročník 294; s. 105068
Hlavní autori:	Giancarlo, Raffaele, Manzini, Giovanni, Restivo, Antonio, Rosone, Giovanna, Sciortino, Marinella
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.10.2023
Predmet:	Burrows-Wheeler transformation Combinatorics on words Data indexing and compression Data indexing and compression Burrows-Wheeler transformation Combinatorics on words
ISSN:	0890-5401
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Popis
Shrnutí:	Introduced about thirty years ago in the field of data compression, the Burrows-Wheeler Transform (BWT) is a string transformation that, besides being a booster of the performance of memoryless compressors, plays a fundamental role in the design of efficient self-indexing compressed data structures. Finding other string transformations with the same remarkable properties of BWT has been a challenge for many researchers for a long time. In this paper, we introduce a whole class of new string transformations, called local orderings-based transformations, which have all the “myriad virtues” of BWT. As a further result, we show that such new string transformations can be used for the construction of the recently introduced r-index, which makes them suitable also for highly repetitive collections. In this context, we consider the problem of finding, for a given string, the BWT variant that minimizes the number of runs in the transformed string.
ISSN:	0890-5401
DOI:	10.1016/j.ic.2023.105068