• DocumentCode
    3272657
  • Title

    Using graphically represented ontologies for searching content on the semantic Web

  • Author

    Wienhofen, Leendert W M

  • Author_Institution
    CognIT, Oslo, Norway
  • fYear
    2004
  • fDate
    14-16 July 2004
  • Firstpage
    801
  • Lastpage
    806
  • Abstract
    The idea behind the semantic Web is to include semantic information on each Web page, so that machine processing for retrieving relevant information is made easier (Berners-Lee et al., 1997). In order to be able to retrieve relevant information, the user still needs to be able to query the Web in an efficient way to exploit the full potential of semantic Web technology. This work describes an application design for using graphically represented ontologies for searching the (semantic) Web. One of the benefits of this approach is that these queries can be translated to different query languages such as RQL(Broekstra and Kampman, 2001; Karvounarakis, et al., 2001), OWL (Heflin, 2003), XQL (Robie et al., 1998), etc.
  • Keywords
    computer graphics; information retrieval; query languages; semantic Web; Web page; content searching; graphically represented ontology; information retrieval; machine processing; query languages; semantic Web; semantic information; Content based retrieval; Database languages; Information retrieval; Internet; Ontologies; Publishing; Semantic Web; Visual databases; World Wide Web; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Visualisation, 2004. IV 2004. Proceedings. Eighth International Conference on
  • ISSN
    1093-9547
  • Print_ISBN
    0-7695-2177-0
  • Type

    conf

  • DOI
    10.1109/IV.2004.1320232
  • Filename
    1320232