• DocumentCode
    1853074
  • Title

    Methodologies for distributed information retrieval

  • Author

    De Kretser, Owen ; Moffat, Alistair ; Shimmin, Tim ; Zobel, Justin

  • Author_Institution
    Dept. of Comput. Sci., Melbourne Univ., Parkville, Vic., Australia
  • fYear
    1998
  • fDate
    26-29 May 1998
  • Firstpage
    66
  • Lastpage
    73
  • Abstract
    Text collections have traditionally been located at a single site and managed as a monolithic whole. However, it is now common for a collection to be spread over several hosts and for these hosts to be geographically separated. The authors examine several alternative approaches to distributed text retrieval. They report on their experience with a full implementation of these methods, and give retrieval efficiency and retrieval effectiveness results for collections distributed over both a local area network and a wide area network. They conclude that, compared to monolithic systems, distributed information retrieval systems can be fast and effective, but that they are not efficient
  • Keywords
    information retrieval; information retrieval system evaluation; local area networks; wide area networks; distributed information retrieval methodologies; distributed text retrieval; geographically separated hosts; local area network; retrieval effectiveness; retrieval efficiency; text collections; wide area network; Australia; Computer science; Database systems; Distributed computing; Distributed databases; Information retrieval; Local area networks; Magnetic heads; Software libraries; Wide area networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing Systems, 1998. Proceedings. 18th International Conference on
  • Conference_Location
    Amsterdam
  • ISSN
    1063-6927
  • Print_ISBN
    0-8186-8292-2
  • Type

    conf

  • DOI
    10.1109/ICDCS.1998.679488
  • Filename
    679488