Abstract
In this paper we address the problem of building a compressed self-index that, given a distribution for the pattern queries and a bound on the space occupancy, minimizes the expected query-time within that index-space bound. We solve this problem by exploiting a reduction to the problem of finding a minimum weight K-link path in a particular Directed Acyclic Graph. Interestingly enough, our solution is independent of the underlying compressed index in use. Our experiments compare this optimal strategy with several other standard approaches, showing its effectiveness in practice.
This work was partially supported by EU-PSP-BPN-250527 (ASSETS), POR-FESR 2007-2013 No 63748 (VISITO Tuscany) projects, MIUR of Italy under project PRIN MadWeb 2008, Yahoo! Research, Finnish Doctoral Programme in Computational Sciences, Academy of Finland (project 1140727), and Nokia Foundation.
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References
Aggarwal, A., Schieber, B., Tokuyama, T.: Finding a minimum-weight k-link path graphs with the concae monge property and applications. Discrete & Computational Geometry 12, 263–280 (1994)
Burrows, M., Wheeler, D.: A block sorting lossless data compression algorithm. Technical Report 124, Digital Equipment Corporation (1994)
Ferragina, P., González, R., Navarro, G., Venturini, R.: Compressed text indexes: From theory to practice. ACM Journal of Experimental Algorithmics, 13 (2008)
Ferragina, P., Manzini, G.: Indexing compressed text. J. ACM 52(4), 552–581 (2005)
Ferragina, P., Manzini, G.: On compressing the textual web. In: WSDM, pp. 391–400 (2010)
Grossi, R., Gupta, A., Vitter, J.: High-order entropy-compressed text indexes. In: Proc. 14th ACM-SIAM Symposium on Discrete Algorithms (SODA), pp. 841–850 (2003)
Grossi, R., Vitter, J.: Compressed suffix arrays and suffix trees with applications to text indexing and string matching. In: Proc. of the 32nd ACM Symposium on Theory of Computing, pp. 397–406 (2000)
Hagerup, T., Tholey, T.: Efficient minimal perfect hashing in nearly minimal space. In: Ferreira, A., Reichel, H. (eds.) STACS 2001. LNCS, vol. 2010, pp. 317–326. Springer, Heidelberg (2001)
Hirschberg, D.S., Larmore, L.L.: The least weight subsequence problem. SIAM Journal on Computing 16(4), 628–638 (1987)
Manzini, G.: An analysis of the Burrows-Wheeler transform. Journal of the ACM 48(3), 407–430 (2001)
Navarro, G., Mäkinen, V.: Compressed full-text indexes. ACM Computing Surveys 39(1) (2007)
Sadakane, K.: New text indexing functionalities of the compressed suffix arrays. J. Algorithms 48(2), 294–313 (2003)
Schieber, B.: Computing a minimum weight k-link path in graphs with the concave monge property. J. Algorithms 29(2), 204–222 (1998)
Silvestri, F.: Mining query logs: Turning search usage data into knowledge. Foundations and Trends in Information Retrieval 4(1-2), 1–174 (2010)
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Ferragina, P., Sirén, J., Venturini, R. (2011). Distribution-Aware Compressed Full-Text Indexes. In: Demetrescu, C., Halldórsson, M.M. (eds) Algorithms – ESA 2011. ESA 2011. Lecture Notes in Computer Science, vol 6942. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23719-5_64
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DOI: https://doi.org/10.1007/978-3-642-23719-5_64
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