Abstract
In this paper we extend several well-known document listing problems to the case when documents contain a substring that approximately matches the query pattern. We study the scenario when the query string can contain a wildcard symbol that matches any alphabet symbol; all documents that match a query pattern with one wildcard must be enumerated. We describe a linear space data structure that reports all documents containing a substring P in O(|P|+σlogloglogn+docc) time, where σ is the alphabet size and docc is the number of listed documents. We also describe a succinct solution for this problem, as well as a solution for an extension of this problem. Furthermore our approach enables us to obtain an O(nσ)-space data structure that enumerates all documents containing both a pattern P1 and a pattern P2 in the special case when P1 and P2 differ in one symbol.
Original language | English |
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Pages (from-to) | 94-101 |
Number of pages | 8 |
Journal | Theoretical Computer Science |
Volume | 635 |
DOIs | |
State | Published - 4 Jul 2016 |
Bibliographical note
Publisher Copyright:© 2016
Funding
Early parts of this work appeared in MFCS 2014 [1] . Work is supported by NSERC of Canada and the Canada Research Chairs program.
Funders | Funder number |
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Natural Sciences and Engineering Research Council of Canada | |
Canada Research Chairs |
Keywords
- Compressed data structures
- Document retrieval
- String searching
- Wildcards