Fast and Quasi-Natural Language Search for Gigabits of Chinese Texts.

Lee-Feng Chien: Fast and Quasi-Natural Language Search for Gigabits of Chinese Texts. SIGIR 1995: 112-120

@inproceedings{DBLP:conf/sigir/Chien95,
  author    = {Lee-Feng Chien},
  editor    = {Edward A. Fox and
               Peter Ingwersen and
               Raya Fidel},
  title     = {Fast and Quasi-Natural Language Search for Gigabits of Chinese
               Texts},
  booktitle = {SIGIR'95, Proceedings of the 18th Annual International ACM SIGIR
               Conference on Research and Development in Information Retrieval.
                Seattle, Washington, USA, July 9-13, 1995 (Special Issue of
               the SIGIR Forum)},
  publisher = {ACM Press},
  year      = {1995},
  isbn      = {0-89791-714-6},
  pages     = {112-120},
  ee        = {db/conf/sigir/Chien95.html},
  crossref  = {DBLP:conf/sigir/95},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

This paper presents an efficient signature file approach for fast and intelligent retrieval of large Chinese full-text document databases. The proposed approach is an integrated and efficient text access method, which performs well both in exact match searching of Boolean queries and best match searching (ranking) of quasi-natural language queries. Using this approach, the inherent difficulties of Chinese word segmentation and proper noun identification can be effectively reduced, queries can be expressed with non-controlled vocabulary, and the ranking function can be easily implemented neither demanding extra space overhead nor affecting the retrieval efficiency. The experimental results show that the proposed approach achieves good performance in many ways, especially in the reduction of false drops and space overhead, the speedup of retrieval time, and the capability of best match searching using quasi-natural language queries. In conclusion, the proposed approach is capable of retrieving gigabytes of Chinese texts very efficiently and intelligently.

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BibTeX

Printed Edition

Edward A. Fox, Peter Ingwersen, Raya Fidel (Eds.): SIGIR'95, Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Seattle, Washington, USA, July 9-13, 1995 (Special Issue of the SIGIR Forum). ACM Press 1995, ISBN 0-89791-714-6
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Referenced by

Yasushi Ogawa: Effective & Efficient Document Ranking without using a Large Lexicon. VLDB 1996: 192-202

BibTeX

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