Semantic Web Enabled Information Systems: Personalized Views on Web Data

نویسندگان

  • Robert Baumgartner
  • Christian Enzi
  • Nicola Henze
  • Marc Herrlich
  • Marcus Herzog
  • Matthias Kriesell
  • Kai Tomaschewski
چکیده

In this paper a methodology and a framework for personalized views on data available on the World Wide Web are proposed. We describe its main two ingredients, Web data extraction and ontologybased personalized content presentation. We exemplify the usage of these methodologies with a sample application for personalized publication browsing. keywords: personalized information management, semantic web, web intelligence, web data extraction

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تاریخ انتشار 2005