A Fuzzy Set Approach to Query Syntax Analysis in Information Retrieval Systems

نویسندگان

  • Dariusz Josef Kogut
  • Ratanachai Sombatsrisomboon
  • Yutaka Matsuo
  • Mitsuru Ishizuka
  • Yasuhiko Kitamura
  • Akira Iida
  • Keunsik Park
  • Shoji Tatsumi
  • Takashi Onoda
  • Hiroshi Murata
  • Seiji Yamada
  • Masashi Shimbo
  • Takahiro Yamasaki
  • Yuji Matsumoto
  • Agnieszka Dardzinska-Glebocka
  • Zbigniew W Ras
  • Katsutoshi Yada
  • Yukinobu Hamuro
  • Naoki Katoh
  • Takashi Washio
  • Issey Fusamoto
  • Daisuke Fujishima
  • Takaya Ikeda
  • Xiaolong Zhang
  • Tetsuo Narita
  • Muneaki Ohshima
  • Tomohiro Okuno
  • Ning Zhong
  • Hideto Yokoi
  • Miho Ohsaki
  • Yoshinori Sato
  • Shinya Kitaguchi
  • Takahira Yamaguchi
  • Yuu Yamada
  • Einoshin Suzuki
  • Katsuhiko Takabayashi
  • Tetsuya Yoshida
  • Kouzou Ohara
  • Hiroshi Motoda
  • Ryutaro Ichise
  • Masayuki Numao
  • Yukio Ohsawa
  • Naoaki Okazaki
  • Naohiro Matsumura
  • Akio Saiura
  • Hajime Fujie
  • Shoji Hirano
  • Shusaku Tsumoto
  • Yoshimasa Takahashi
  • Katsumi Nishikoori
  • Satoshi Fujishima
  • Cholwich Nattee
  • Sukree Sinthupinyo
  • Takashi Okada
  • Hiroaki Kato
  • Hiroyuki Miyata
  • Naohiro Uchimura
  • Hidetsugu Abe
  • Masumi Yamakawa
  • Hirotaka Niitsuma
  • Hiroyuki Kawano
  • Eiji Hato
  • Dariusz J. Kogut
چکیده

This article investigates whether a fuzzy set approach to the natural language syntactic analysis can support information retrieval systems. It concentrates on a web search since the internet becomes a vast resource of information. In addition, this article presents a module of syntax analysis of TORCH project where the fuzzy set disambiguation has been implemented and tested.

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تاریخ انتشار 2003