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효과적인 콘텐츠 서비스를 위한 RSS피드 검색 엔진의 설계 및 구현

Design and Implementation of RSS feed search engine for effective contents service

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초록

In the Web 2.0, besides more gaining information on the web, the number of web sites that take advantage of RSS increases explosively. Commonly each users search RSS channels through the web search engine before registering RSS channel's url to the RSS reader. Users judge whether the site is RSS channel or not and register an RSS channel's url through theirs interests. Because accomplished by users themselves, those processes conflict to user's convenience and quick consumption of information. Techniques of current search engines can't provide users with reliable RSS feed information as search results. In this paper, we analysis appropriateness of current search engines' techniques that offer users RSS feed search service and discuss their limitations. Also, we make up RSS feed database through classification of RSS tag being possible to search RSS feed information effectively and apply update rate of each RSS channel's feed to ranking algorithm providing more reliable search results.

Abstract

In the Web 2.0, besides more gaining information on the web, the number of web sites that take advantage of RSS increases explosively. Commonly each users search RSS channels through the web search engine before registering RSS channel's url to the RSS reader. Users judge whether the site is RSS channel or not and register an RSS channel's url through theirs interests. Because accomplished by users themselves, those processes conflict to user's convenience and quick consumption of information. Techniques of current search engines can't provide users with reliable RSS feed information as search results. In this paper, we analysis appropriateness of current search engines' techniques that offer users RSS feed search service and discuss their limitations. Also, we make up RSS feed database through classification of RSS tag being possible to search RSS feed information effectively and apply update rate of each RSS channel's feed to ranking algorithm providing more reliable search results.

참고문헌 (8)

  1. Tim Berners-Lee, "Putting the Web back into Semantic Web" (2005), ISWC2005 Keynote
  2. [URL]
  3. Sergey Brin, "The Anatomy of a Large-Scale Hypertextual Web Search Engine", the Seventh International World Wide Web Conference, 통권 : 30, pp.107~117 (1998)
  4. 이재윤, "질문 유형에 따른 인터넷 검색엔진의 성능 비교", 한국정보관리학회 제10회 학술대회 논문집, pp.185~192 (2003)
  5. Ben Hammersley, "Content Syndication with RSS", O' Reilly & Associates, 195, pp.117~124 (2003)
  6. 전종홍, "웹 2.0 기술 현황 및 전망", 전자통신동향분석, 21(5), pp.141~153 (2006)
  7. Kowalski, G., "Information Storage and Retrieval Systems", Kluwer ACADEMIC PUBLICHER, 313, pp.10~24 (2000)
  8. B. Yuwono, "Search and ranking algorithms for locating resource on World Wide Web", Proc. of the Int. Conf. on Data Engineering, pp.164~171

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