바로가기메뉴

본문 바로가기 주메뉴 바로가기

A Study of Designing the Han-Guel Thesaurus Browser for Automatic Information Retrieval

Journal of Korean Library and Information Science Society / Journal of Korean Library and Information Science Society, (P)2466-2542;
2000, v.31 no.2, pp.279-302
Seo, Whee
  • Downloaded
  • Viewed

Abstract

This study is to develop a new automatic system for the Korean thesaurus browser by which we can automatically control all the processes of searching queries such as, representation, generation, extension and construction of searching strategy and feedback searching. The system in this study is programmed by Delphi 4.0(PASCAL) and consists of database system, automatic indexing, clustering technique, establishing and expressing thesaurus, and automatic information retrieval technique. The results proved by this system are as follows: 1)By using the new automatic thesaurus browser developed by the new algorithm, we can perform information retrieval, automatic indexing, clustering technique, establishing and expressing thesaurus, information retrieval technique, and retrieval feedback. Thus it turns out that even the beginner user can easily access special terms about the field of a specific subject. 2) The thesaurus browser in this paper has such merits as the easiness of establishing, the convenience of using, and the good results of information retrieval in terms of the rate of speed, degree, and regeneration. Thus, it t m out very pragmatic.

keywords

Reference

1.

이재윤. .

2.

T. Radecki. (1976). Mathematical model of information retrieval system based on the concept of fuzzy thesaurus. Information Processing and Management, 12(5), 313-318.

3.

gerald Salton. .

4.

H. Kimoto;T. Iwadera. (1990). Construction of a Dynamic Thesauruss and its Use for Associated Information Retrieval (227-240). Proceedings of the 13th International conference on Research and Development in Information Retrieval.

5.

박영몽. .

6.

F. W. Lancaster. .

7.

W. B. Turki. (1971). On a model of information retrieval system based on thesaurus. Information storage and Retrieval, 7(2), 89-94.

8.

P. Shoval. (1985). Principles, procedures and rules in an expert system for information retrieval. Information Processing and Management, 21(6), 475-487.

9.

S. Miyamoto. (1990). Information Retrieval Based on Fuzzy Associations. Fuzzy Sets and Systems, 38, 191-205.

10.

정영미;이재윤. (1998). 한국어 텍스트 내 용어 연관성 분석을 위한 기초 연구. 한국정보관리학회 학술대회 논문집, 5, 243-246.

11.

김영환. .

12.

서휘. (1999). 클러스터링을 이용한 시소러스 브라우저의 설계에 대한 연구. 한국도서관·정보학회지, 32(3), 435;427-456.

13.

D. Soergel. (1974). Automatic and Semi-Automatic Methods as an Aid in the Construction of Indexing Languages and Thesauri. Intern. Classif., 1(1), 34-39.

Journal of Korean Library and Information Science Society