Journal of KIISE:Databases (한국정보과학회논문지:데이타베이스)

Korean Institute of Information Scientists and Engineers (한국정보과학회)
권호 표지

GUI-based HTML2XML Wrapperusing Inductive Reasoning

학습 추론을 이용한 GUI 기반의 HTML2XML 래퍼

  • 장문성 (서울대학교 컴퓨터공학부) ;
  • 정재목 (서울대학교 컴퓨터공학부) ;
  • 최일환 (서울대학교 컴퓨터공학부) ;
  • 김형주 (서울대학교 컴퓨터공학부)
  • Published : 2002.08.01
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Abstract

The 'wrapper' is a module that extracts and processes information from the specified data source by the pre-composed extraction rule. 'HTML Wrapper for XML' extracts information from the web source as the form of XML document. Since composing the extraction rule is a repetitious and tedious job, it should be done as easy and fast as possible. This paper presents the method to minimize the composing job, which integrates GUI based training and scripting.

래퍼(wrapper)는 미리 입력된 추출 규칙을 바탕으로 특정 정보 소스에서 원하는 정보를 추출, 가공하는 모듈이다. HTML-XML 래퍼(HTML Wrapper for XML)는 HTML로 이루어진 웹 정보에서 특정 정보를 XML 문서 형태로 추출한다. 사람이 추출 규칙을 직접 작성하는 일은 단순 반복적이고 지루한 일이므로, 최소의 노력으로 쉽고 빠르게 이를 생성할 수 있어야 한다. 본 논문에서는 기존의 스크립팅 방식에 GUI를 통한 학습 추론 방법을 통합하여 추출 규칙 생성 작업을 최소화 하는 방법을 제시한다.

Keywords

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