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.
(2004). 한글 문서의 색인어와 색인 기법. 22(4), 72-77.
(2002). 개념 검색어 확장을 통해 질의 형식화를 도와주는 개념 마법사의 설계 및 구현. 9-B(4), 437-444.
(1999). 구문분석에 기반한 한글 자연어 질의로부터의 불리언 질의 생성. 26(10), 1219-1229.
(1998). 한글공학:정보검색. 5(5), -.
(2002). 로그 분석을 통한 이용자의 웹 문서 검색 행태에 관한 연구. 19(3), 111-122.
(2003). 규칙에 기반한 한국어 부분 구문분석기의 구현. 10-B(4), 389-396.
(2001). 의미기반 정보검색. 19(10), 7-18.
(2000). 형태소 및 구문 모호성 축소를 위한 구문단위 형태소의 이용. 27(7), -.
(1998). Phrase-based Information Retrieval. 34(6), -.
(1999). Modern Informa- tion Retrieval. , -.
(1987). “Experiments in automatic phrase indexing for document retrieval a comparison of syntactic and non-syntactic me- thods. , -.
(1989). “The effective of a non-syntactic approach to automatic phrase indexing for document retrieval. , -.
(1999). Using syntactic information in handling natural language queries for extended boolean retrieval model. , 63-70.
(2000). Natural Language Information Retrieval : progress report. 36(1), -.
(1988). “Automatic text processing. , -.
(2000). Integrated indexing method using compound noun segmentation and noun phrase synthesis. 27(1), -.
(1997). Fast statistical parsing of noun phrases for document indexing. , 312-319.
http://kibs.kaist.ac.kr. , -.
http://www.google.co.kr. , -.
http://www.naver.com. , -.
http://kr.yahoo.com. , -.