Substring index
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In computer science, a substring index is a data structure which gives substring search in a text or text collection in sublinear time. Once constructed from a document or set of documents, a substring index can be used to locate all occurrences of a pattern in time linear or near-linear in the pattern size, with no dependence or only logarithmic dependence on the document size.
These data structures typically treat their text and pattern as strings over a fixed alphabet, and search for locations where the pattern occurs as a substring of the text. The alphabet may consist of characters (for instance in Unicode) but in practical applications for text retrieval it may be preferable to treat the (stemmed) words of a document as the elements of the alphabet, because doing this reduces the lengths of both the text and pattern as measured in letters of their alphabet.
The phrase full-text index is often used for substring indexes. But this is ambiguous, as it is also used for regular word indexes such as inverted files and document retrieval. See full text search.
Specific data structures that can be used as substring indexes include:
- The suffix tree, a radix tree of the suffixes of the string, allowing substring search to be performed character-by-character[1]
- The suffix array, a sorted array of the starting positions of suffixes of the string, allowing substring search to be performed by binary search[1]
- The compressed suffix array, a data structure that combines data compression with the suffix array, allowing the structure to be stored in space sublinear in the text length[1]
- The FM-index, another compressed substring index based on the Burrows–Wheeler transform and closely related to the suffix array[2]
References
- ^ a b c Grossi, Roberto; Vitter, Jeffrey Scott (2005), "Compressed suffix arrays and suffix trees with applications to text indexing and string matching" (PDF), SIAM Journal on Computing, 35 (2): 378–407, doi:10.1137/S0097539702402354, MR 2191449
- ^ Ferragina, Paolo; Manzini, Giovanni (2005), "Indexing compressed text", Journal of the ACM, 52 (4): 552–581, doi:10.1145/1082036.1082039, MR 2164632