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Improved Compressed Indexes for Full-Text Document Retrieval

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String Processing and Information Retrieval (SPIRE 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7024))

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Abstract

We give new space/time tradeoffs for compressed indexes that answer document retrieval queries on general sequences. On a collection of D documents of total length n, current approaches require at least \(|\mathsf{CSA}|+ O(n\frac{\lg D}{\lg\lg D})\) or 2|CSA| + o(n) bits of space, where CSA is a full-text index. Using monotone minimum perfect hash functions, we give new algorithms for document listing with frequencies and top-k document retrieval using just \(|\mathsf{CSA}|+O(n\lg\lg\lg D)\) bits. We also improve current solutions that use 2|CSA| + o(n) bits, and consider other problems such as colored range listing, top-k most important documents, and computing arbitrary frequencies.

Partially funded by Fondecyt Grant 1-110066, Chile. First author also partially supported by the French ANR-2010-COSI-004 MAPPI Project.

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Author information

Authors and Affiliations

  1. LIAFA, Univ. Paris Diderot, Paris 7, France

    Djamal Belazzougui

  2. Department of Computer Science, University of Chile, Chile

    Gonzalo Navarro

Authors
  1. Djamal Belazzougui
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  2. Gonzalo Navarro
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Editor information

Editors and Affiliations

  1. Università di Pisa, Italy

    Roberto Grossi

  2. Consiglio Nazionale delle Ricerche, Area della Ricerca di Pisa, Istituto di Scienza e Tecnologia dell’Informazione “Alessandro Faedo”, Via Giuseppe Moruzzi 1, 56124, Pisa, Italy

    Fabrizio Sebastiani  & Fabrizio Silvestri  & 

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Belazzougui, D., Navarro, G. (2011). Improved Compressed Indexes for Full-Text Document Retrieval. In: Grossi, R., Sebastiani, F., Silvestri, F. (eds) String Processing and Information Retrieval. SPIRE 2011. Lecture Notes in Computer Science, vol 7024. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24583-1_38

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  • DOI: https://doi.org/10.1007/978-3-642-24583-1_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24582-4

  • Online ISBN: 978-3-642-24583-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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