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An Efficient Indexing Technique for Full Text Databases.

Justin Zobel, Alistair Moffat, Ron Sacks-Davis: An Efficient Indexing Technique for Full Text Databases. VLDB 1992: 352-362
@inproceedings{DBLP:conf/vldb/ZobelMS92,
  author    = {Justin Zobel and
               Alistair Moffat and
               Ron Sacks-Davis},
  editor    = {Li-Yan Yuan},
  title     = {An Efficient Indexing Technique for Full Text Databases},
  booktitle = {18th International Conference on Very Large Data Bases, August
               23-27, 1992, Vancouver, Canada, Proceedings},
  publisher = {Morgan Kaufmann},
  year      = {1992},
  isbn      = {1-55860-151-1},
  pages     = {352-362},
  ee        = {http://www.vldb.org/conf/1992/P353.PDF},
  crossref  = {DBLP:conf/vldb/92},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Full-text database systems require an index to allow fast access to documents based on their content. We propose an inverted file indexing scheme based on compression. This scheme allows users to retrieve documents using words occurring in the documents, sequences of adjacent words, and statistical ranking techniques. The compression methods chosen ensure that the storage requirements are small and that dynamic update is straightforward. The only assumption that we make is that sufficient main memory is available tosupport an in-memory vocabulary; given this assumption, the method we describe requires at most one disc access per query term to identify answers to queries.

Copyright © 1992 by the VLDB Endowment. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by the permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment.


Printed Edition

Li-Yan Yuan (Ed.): 18th International Conference on Very Large Data Bases, August 23-27, 1992, Vancouver, Canada, Proceedings. Morgan Kaufmann 1992, ISBN 1-55860-151-1
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