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Text Indexing and Searching in Sublinear Time

Authors J. Ian Munro, Gonzalo Navarro, Yakov Nekrich

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Author Details

J. Ian Munro
  • Cheriton School of Computer Science, University of Waterloo, Canada
Gonzalo Navarro
  • CeBiB - Center of Biotechnology and Bioengineering, Department of Computer Science, University of Chile, Santiago, Chile
Yakov Nekrich
  • Department of Computer Science, Michigan Technological University, Houghton, MI, USA

Funding

  • Munro, J. Ian: Funded with Canada Research Chairs Programme and NSERC Discovery Grant.
  • Navarro, Gonzalo: Funded with Basal Funds FB0001, Conicyt, Chile.

Cite AsGet BibTex

J. Ian Munro, Gonzalo Navarro, and Yakov Nekrich. Text Indexing and Searching in Sublinear Time. In 31st Annual Symposium on Combinatorial Pattern Matching (CPM 2020). Leibniz International Proceedings in Informatics (LIPIcs), Volume 161, pp. 24:1-24:15, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2020)
https://doi.org/10.4230/LIPIcs.CPM.2020.24

Abstract

We introduce the first index that can be built in o(n) time for a text of length n, and can also be queried in o(q) time for a pattern of length q. On an alphabet of size σ, our index uses O(n log σ) bits, is built in O(n log σ / √{log n}) deterministic time, and computes the number of occurrences of the pattern in time O(q/log_σ n + log n log_σ n). Each such occurrence can then be found in O(log n) time. Other trade-offs between the space usage and the cost of reporting occurrences are also possible.

Subject Classification

ACM Subject Classification
  • Theory of computation → Data structures design and analysis
Keywords
  • data structures
  • string indexes

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