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A Study on Effective Internet Data Extraction through Layout Detection
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  • A Study on Effective Internet Data Extraction through Layout Detection
  • A Study on Effective Internet Data Extraction through Layout Detection
저자명
Sun. Bok-Keun,Han. Kwang-Rok
간행물명
International journal of contents
권/호정보
2005년|1권 2호|pp.5-9 (5 pages)
발행정보
한국콘텐츠학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

Currently most Internet documents including data are made based on predefined templates, but templates are usually formed only for main data and are not helpful for information retrieval against indexes, advertisements, header data etc. Templates in such forms are not appropriate when Internet documents are used as data for information retrieval. In order to process Internet documents in various areas of information retrieval, it is necessary to detect additional information such as advertisements and page indexes. Thus this study proposes a method of detecting the layout of Web pages by identifying the characteristics and structure of block tags that affect the layout of Web pages and calculating distances between Web pages. This method is purposed to reduce the cost of Web document automatic processing and improve processing efficiency by providing information about the structure of Web pages using templates through applying the method to information retrieval such as data extraction.