• DocumentCode
    357704
  • Title

    Using section-semantic relation structures to enhance the performance of Web search

  • Author

    Yao, Zhen ; Wang, Bing

  • Author_Institution
    Dept. of Comput. Sci., Hull Univ., UK
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    512
  • Lastpage
    516
  • Abstract
    Along with the fast growth of the World Wide Web, search engine has become one of the most popular services on it. Improvements on the performance of search engines will bring about great economic profit. Aiming at promoting the effectiveness of Web search, a new approach established on the basis of the new concept of section-semantic relation structure is presented. “section” is defined as a block of media that contains a single “atom” of information, and “semantic relation” is defined as the relationship between two sections. New search engines can store the image of the WWW in the section-semantic relation structure, rather than in a keyword index. The storage and processing of section-semantic relation structure is described, and the method of reconstructing the WWW on the basis of this structure is presented. Finally, the advantages of the current approach to the existing search engines is discussed by using a sample
  • Keywords
    information resources; performance evaluation; search engines; Web search; World Wide Web; keyword index; performance enhancement; search engine; section-semantic relation structure; section-semantic relation structures; Computational Intelligence Society; Computer science; Containers; Couplings; Environmental economics; Power generation economics; Search engines; Web search; Web sites; World Wide Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications, 2000. Proceedings. 11th International Workshop on
  • Conference_Location
    London
  • ISSN
    1529-4188
  • Print_ISBN
    0-7695-0680-1
  • Type

    conf

  • DOI
    10.1109/DEXA.2000.875075
  • Filename
    875075