바로가기메뉴

본문 바로가기 주메뉴 바로가기

logo

Article Contents

Prev Next
e-Submission

Vol.21 No.2
Citation Share

Web Information Retrieval based on Natural Language Query Analysis and Keyword Expansion

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2004, v.21 no.2, pp.235-248
https://doi.org/10.3743/KOSIM.2004.21.2.235

(2004). Web Information Retrieval based on Natural Language Query Analysis and Keyword Expansion. Journal of the Korean Society for Information Management, 21(2), 235-248, https://doi.org/10.3743/KOSIM.2004.21.2.235
  • Downloaded
  • Viewed
PDF Download

Abstract

For the users of information retrieval systems, natural language query is the more ideal interface, compared with keyword and boolean expressions. This paper proposes a retrieval technique with expanded keyword from syntactically-analyzed structures of natural language query as user input. Through the steps combining or splitting the compound nouns based on syntactic tree traversal of the query, and expanding the other-formed or shorten-formed into multiple keyword, it can enhance the precision and correctness of the retrieval system.

keywords
웹 정보 검색, 자연어 질의, 구문 분석, 검색어 확장 information retrieval, natural language query, syntactic analysis, keyword expansion, 웹 정보 검색, 자연어 질의, 구문 분석, 검색어 확장 information retrieval, natural language query, syntactic analysis, keyword expansion

Reference

1.

(2004). 한글 문서의 색인어와 색인 기법. 22(4), 72-77.

2.

(2002). 개념 검색어 확장을 통해 질의 형식화를 도와주는 개념 마법사의 설계 및 구현. 9-B(4), 437-444.

3.

(1999). 구문분석에 기반한 한글 자연어 질의로부터의 불리언 질의 생성. 26(10), 1219-1229.

4.

(1998). 한글공학:정보검색. 5(5), -.

5.

(2002). 로그 분석을 통한 이용자의 웹 문서 검색 행태에 관한 연구. 19(3), 111-122.

6.

(2003). 규칙에 기반한 한국어 부분 구문분석기의 구현. 10-B(4), 389-396.

7.

(2001). 의미기반 정보검색. 19(10), 7-18.

8.

(2000). 형태소 및 구문 모호성 축소를 위한 구문단위 형태소의 이용. 27(7), -.

9.

(1998). Phrase-based Information Retrieval. 34(6), -.

10.

(1999). Modern Informa- tion Retrieval. , -.

11.

(1987). “Experiments in automatic phrase indexing for document retrieval a comparison of syntactic and non-syntactic me- thods. , -.

12.

(1989). “The effective of a non-syntactic approach to automatic phrase indexing for document retrieval. , -.

13.

(1999). Using syntactic information in handling natural language queries for extended boolean retrieval model. , 63-70.

14.

(2000). Natural Language Information Retrieval : progress report. 36(1), -.

15.

(1988). “Automatic text processing. , -.

16.

(2000). Integrated indexing method using compound noun segmentation and noun phrase synthesis. 27(1), -.

17.

(1997). Fast statistical parsing of noun phrases for document indexing. , 312-319.

18.

http://kibs.kaist.ac.kr. , -.

19.

http://www.google.co.kr. , -.

20.

http://www.naver.com. , -.

21.

http://kr.yahoo.com. , -.

Journal of the Korean Society for Information Management

e-Submission OA Policy