We present a simple q-gram based semi-index, which allows to look for a pattern typically only in a small fraction of text blocks. Several space-time tradeoffs are presented. Experiments on Pizza & Chili datasets show that our solution is up to three orders of magnitude faster than the Claude et al. \cite{CNPSTjda10} semi-index at a comparable space usage.
Cite
@article{arxiv.1507.02989,
title = {A Bloom filter based semi-index on $q$-grams},
author = {Szymon Grabowski and Robert Susik and Marcin Raniszewski},
journal= {arXiv preprint arXiv:1507.02989},
year = {2022}
}