본문 바로가기
  • Home

Design of Paragraph-based Multiagent Metasearch Engine

  • Journal of Knowledge Information Technology and Systems
  • Abbr : JKITS
  • 2012, 7(2), pp.9-16
  • Publisher : Korea Knowledge Information Technology Society
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Published : April 30, 2012

NamOh Kang 1 SAJOON PARK 2 HWANG SU CHEOL 3

1(주)리써치링크
2대구한의대학교
3인하공업전문대학

Accredited

ABSTRACT

As the number of documents published on the Internet increases, users are gradually difficult to retrieve information accurately and efficiently. In general, users visit web pages by using the result list generated from a search engine and search each web page of the browsed list to discover information. And these processes are necessary for an additional time and work. In addition, for improving the retrieved result, increasing the number of search engines used in the retrieval process produces many different result lists, and it makes much more difficult for users to search information based on an integrated searching list. For solving these problems, we introduce using the multiagent and the localized information in the result documents. In this paper, we propose a Paragraph-based Multiagent metasearch engine which produces local-centric result list based on the calculated paragraph-unit similarity in web documents, which is browsed by numerous search engines for a user query.

Citation status

* References for papers published after 2023 are currently being built.