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Hybrid index organizations for text databases

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Advances in Database Technology — EDBT '92 (EDBT 1992)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 580))

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Abstract

Due to the skewed nature of the frequency distribution of term occurrence (e.g., Zipf's law) it is unlikely that any single technique for indexing text can do well in all situations. In this paper we propose a hybrid approach to indexing text, and show how it can outperform the traditional inverted B-tree index both in storage overhead, in time to perform a retrieval, and, for dynamic databases, in time for an insertion, both for single term and for multiple term queries. We demonstrate the benefits of our technique on a database of stories from the Associated Press news wire, and we provide formulae and guidelines on how to make optimal choices of the design parameters in real applications.

This research was sponsored in pan by the University of Maryland Institute for Advanced Computer Studies, by the National Science Foundation under grants DCR-86-16833, IRI-8719458 and IRI-8938546 and by the Air Force Office of Scientific Research under Grant AFOSR-89-0303.

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Author information

Authors and Affiliations

  1. University of Maryland, College Park, MD

    Christos Faloutsos

  2. AT&T Bell Laboratories, Murray Hill, NJ

    H. V. Jagadish

Authors
  1. Christos Faloutsos
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  2. H. V. Jagadish
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Editor information

Alain Pirotte Claude Delobel Goerg Gottlob

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© 1992 Springer-Verlag Berlin Heidelberg

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Faloutsos, C., Jagadish, H.V. (1992). Hybrid index organizations for text databases. In: Pirotte, A., Delobel, C., Gottlob, G. (eds) Advances in Database Technology — EDBT '92. EDBT 1992. Lecture Notes in Computer Science, vol 580. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0032439

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  • DOI: https://doi.org/10.1007/BFb0032439

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55270-3

  • Online ISBN: 978-3-540-47003-8

  • eBook Packages: Springer Book Archive

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