• DocumentCode
    2862031
  • Title

    MumbleSearch Extraction of High Quality Web information for SME

  • Author

    Baldini, Nicola ; Gori, Marco ; Maggini, Marco

  • Author_Institution
    focuseek (Italy)
  • fYear
    2004
  • fDate
    20-24 Sept. 2004
  • Firstpage
    757
  • Lastpage
    760
  • Abstract
    Although search engines are playing a crucial role for the retrieval of information from the Web, they cannot guarantee the quality required for most relevant business activities as well as for many top-level research projects. In this paper we present MumbleSearch, a Web Content Monitor which is especially conceived to extract and organize topic-based information with emphasis on quality requirements. We present the architecture of the software platform and its deployment for a real-world application, involving Italian Small and Medium Enterprises (SME).
  • Keywords
    Computer architecture; Content based retrieval; Content management; Data mining; Humans; Indexing; Information retrieval; Monitoring; Performance analysis; Search engines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence, 2004. WI 2004. Proceedings. IEEE/WIC/ACM International Conference on
  • Print_ISBN
    0-7695-2100-2
  • Type

    conf

  • DOI
    10.1109/WI.2004.10004
  • Filename
    1410914