Succinct Index for Dynamic Dictionary Matching

  • Authors:

  • Wing-Kai Hon;Tak-Wah Lam;Rahul Shah;Siu-Lung Tam;Jeffrey Scott Vitter

  • Affiliations:

  • National Tsing Hua University, Taiwan;University of Hong Kong, Hong Kong;Louisiana State University, Louisiana, USA;University of Hong Kong, Hong Kong;Texas A&M University, Texas, USA

  • Venue:
  • ISAAC '09 Proceedings of the 20th International Symposium on Algorithms and Computation
  • Year:
  • 2009

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Abstract

In this paper we revisit the dynamic dictionary matching problem, which asks for an index for a set of patterns P 1, P 2, ..., P k that can support the following query and update operations efficiently. Given a query text T, we want to find all the occurrences of of these patterns; furthermore, as the set of patterns may change over time, we also want to insert or delete a pattern. The major contribution of this paper is the first succinct index for dynamic dictionary matching. Prior to our work, the most compact index is given by Chan et al. (2007), which is based on the compressed suffix arrays (Grossi and Vitter (2005) and Sadakane (2003)) and the FM-index (Ferragina and Manzini (2005)), and it requires O(n 驴) bits where n is the total length of patterns and 驴 is the alphabet size. We develop a dynamic succinct index using a different (and simpler) paradigm based on suffix sampling. The new index not only improves the space complexity to (1 + o(1))n log驴 + O(klogn) bits, but also the time complexity of the query and update operations. Specifically, the query and update operations respectively take O(|T|logn + occ) and O(|P|log驴 + logn) times, where occ is the number of occurrences.