Identifying Relevant Fragments of Learner Profile on the Semantic Web

The aim of this paper is to discuss how to identify distributed learner profile fragments on the semantic web. The learner profile fragments are modelled employing vocabulary suggested by several standards for learner profile. The learner profile fragments are maintained as standalone semantic networks of objects in RDF. The objects are instances of concepts labeled by terms from the standards. The identification of the profile fragments needed for example by adaptation services is performed as unification of identification records maintained on different sites. Queries sent to the edutella P2P network provide virtual views which connect those stand alone object networks. The queries can be constructed according to specific needs of personalization techniques, which can be provided as personalization services in a P2P learning network.

[1]  Tore Risch,et al.  EDUTELLA: a P2P networking infrastructure based on RDF , 2002, WWW.

[2]  Julita Vassileva,et al.  Purpose-Based User Modelling in a Multi-agent Portfolio Management System , 2003, User Modeling.

[3]  Dominik Heckmann,et al.  Integrating Privacy Aspects into Ubiquitous Computing: A Basic User Interface for Personalization , 2003 .

[4]  Peter Dolog,et al.  Personalization in distributed e-learning environments , 2004, WWW Alt. '04.

[5]  Marianne Winslett,et al.  PeerTrust: Automated Trust Negotiation for Peers on the Semantic Web , 2004, Secure Data Management.

[6]  Peter Dolog,et al.  The Personal Reader: Personalizing and Enriching Learning Resources Using Semantic Web Technologies , 2004, AH.

[7]  Peter Dolog,et al.  Conceptualising Smart Spaces for Learning , 2004 .

[8]  Punya Mishra,et al.  Bindings and Profiles for the OASIS Security Assertion Markup Language (SAML) v1. 1 , 2003 .

[9]  Peter Dolog,et al.  Challenges and Benefits of the Semantic Web for User Modelling , 2003 .

[10]  Tomaz Klobucar,et al.  Privacy-Enhancing Technologies - approaches and development , 2003, Comput. Stand. Interfaces.

[11]  Julita Vassileva,et al.  Multi-Agent Multi-User Modeling in I-Help , 2003, User Modeling and User-Adapted Interaction.

[12]  Alfred Kobsa.  User Modeling and User-Adapted Interaction , 2005, User Modeling and User-Adapted Interaction.

[13]  Alfred Kobsa,et al.  Privacy through pseudonymity in user-adaptive systems , 2003, TOIT.