Mashing up user data in the Grapple User Modeling Framework

نویسندگان

  • Fabian Abel
  • Dominik Heckmann
  • Eelco Herder
  • Jan Hidders
  • Geert-Jan Houben
  • Daniel Krause
  • Erwin Leonardi
  • Kees van der Sluijs
چکیده

In this paper we demonstrate the Grapple User Modeling Framework (GUMF), which exploits Semantic Web technologies and Web 2.0 paradigms to model users across different applications and domains. It introduces novel features such as dataspaces, which logically bundle user data, and user pipes, which allow to mash up user data from different sources.

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تاریخ انتشار 2009