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Effective & Efficient Document Ranking without using a Large Lexicon.

Yasushi Ogawa: Effective & Efficient Document Ranking without using a Large Lexicon. VLDB 1996: 192-202
@inproceedings{DBLP:conf/vldb/Ogawa96,
  author    = {Yasushi Ogawa},
  editor    = {T. M. Vijayaraman and
               Alejandro P. Buchmann and
               C. Mohan and
               Nandlal L. Sarda},
  title     = {Effective {\&} Efficient Document Ranking without using a Large
               Lexicon},
  booktitle = {VLDB'96, Proceedings of 22th International Conference on Very
               Large Data Bases, September 3-6, 1996, Mumbai (Bombay), India},
  publisher = {Morgan Kaufmann},
  year      = {1996},
  isbn      = {1-55860-382-4},
  pages     = {192-202},
  ee        = {db/conf/vldb/Ogawa96.html},
  crossref  = {DBLP:conf/vldb/96},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Although a word-based method is commonly used in document retrieval, it cannot be directly applicable to languages that have no obvious word separator. Given a lexicon, it is possible to identify words in documents, but a large lexicon is troublesome to maintain and makes retrieval systems large and complicated. This paper proposes an effective and efficient ranking that does not use a large lexicon; words need not be identified during document registration because a character-based signature file is used for the access structure. A user request, during document retrieval, is statistically analyzed to generate an appropriate query, and the query is evaluated efficiently in a word-based manner using the character-based index. We also propose two optimizing techniques to accelerate retrieval.

Copyright © 1996 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.

Online Paper

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Printed Edition

T. M. Vijayaraman, Alejandro P. Buchmann, C. Mohan, Nandlal L. Sarda (Eds.): VLDB'96, Proceedings of 22th International Conference on Very Large Data Bases, September 3-6, 1996, Mumbai (Bombay), India. Morgan Kaufmann 1996, ISBN 1-55860-382-4
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