• DocumentCode
    2000067
  • Title

    A Multi-Strategy Approach to Rating and Filtering Online Resources

  • Author

    Bertino, Elisa ; Ferrari, Elena ; Perego, Andrea ; Zarri, Gian Piero

  • Author_Institution
    Purdue Univ., West Lafayette, IN
  • fYear
    2005
  • fDate
    26-26 Aug. 2005
  • Firstpage
    519
  • Lastpage
    523
  • Abstract
    This paper illustrates some of the semantic Web techniques used in the framework of the EU project EUFORBIA, which deals with the rating and filtering of `questionable´ Web sites concerned with racism, violence, pornography, etc. The rationale for using a high-level semantic approach in this domain is linked with the assumption that an in-depth description of the `semantic content´ of Web sites should allow the implementation of filtering strategies more flexible, accurate and (neatly) sophisticated than the current ones. From a technical point of view, the final result of the project consists of two integrated prototypes that communicate through a common ontology
  • Keywords
    information filtering; meta data; ontologies (artificial intelligence); semantic Web; EUFORBIA project; Web filtering; Web site; high-level semantic approach; multistrategy approach; online resource; semantic Web technique; Educational institutions; Information filtering; Information filters; Knowledge representation; Libraries; Ontologies; Protection; Prototypes; Semantic Web; Web pages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications, 2005. Proceedings. Sixteenth International Workshop on
  • Conference_Location
    Copenhagen
  • ISSN
    1529-4188
  • Print_ISBN
    0-7695-2424-9
  • Type

    conf

  • DOI
    10.1109/DEXA.2005.21
  • Filename
    1508325