Paper:
Language: English:

Query Expansion Using Conceptual Fuzzy Sets for Search Engines

Masanori Tajima^*, Takayuki Kawabata^, Tomoe Tomiyama^, and Tomohiro Takagi^**

*e-Solutions Company Toshiba Corporation, 1-1-1, Shibaura, Minato-ku, Tokyo, 105-8001 Japan
**Department of Computer Science, Meiji University, 1-1-1, Higashimita, Tama-ku, Kawasaki, Kanagawa, 214-8571 Japan

Received: August 28, 2002

Accepted: October 21, 2002

Keywords: fuzzy sets, search engine, information retrieval

Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.7, No.1 pp. 2-5, 2003

Abstract

We propose a search engine which conceptually matches input keywords and text datas. The conceptual matching is realized by context-dependent keyword expansion using conceptual fuzzy sets. First, we show the necessity and also the problems of applying fuzzy sets to information retrieval. Next, we introduce the usefulness of conceptual fuzzy sets in overcoming those problems, and propose the realization of conceptual fuzzy sets using Hopfield Networks. We also propose the architecture of the search engine which can execute conceptual matching dealing with context-dependent word ambiguity. Finally, we evaluate our proposed method through a simulation of retrieving large number of article datas, and compare the proposed method with the ordinary TF-IDF method. We show that our method can correlate seemingly unrelated input keywords and produce matching text datas, whereas the TF-IDF method cannot.

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