Personalizing access to learning networks

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

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Externe Organisationen

  • Aalborg University
  • Wirtschaftsuniversität Wien
  • Institut "Jožef Stefan" (IJS)
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OriginalspracheEnglisch
Aufsatznummer3
Seitenumfang93
FachzeitschriftACM Transactions on Internet Technology
Jahrgang8
Ausgabenummer2
PublikationsstatusVeröffentlicht - 18 Feb. 2008

Abstract

In this article, we describe a Smart Space for Learning™ (SS4L) framework and infrastructure that enables personalized access to distributed heterogeneous knowledge repositories. Helping a learner to choose an appropriate learning resource or activity is a key problem which we address in this framework, enabling personalized access to federated learning repositories with a vast number of learning offers. Our infrastructure includes personalization strategies both at the query and the query results level. Query rewriting is based on learning and language preferences; rule-based and ranking-based personalization improves these results further. Rule-based reasoning techniques are supported by formal ontologies we have developed based on standard information models for learning domains; ranking-based recommendations are supported through ensuring minimal sets of predicates appearing in query results. Our evaluation studies show that the implemented solution enables learners to find relevant learning resources in a distributed environment and through goal-based personalization improves relevancy of results.

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Personalizing access to learning networks. / Dolog, Peter; Simon, Bernd; Nejdl, Wolfgang et al.
in: ACM Transactions on Internet Technology, Jahrgang 8, Nr. 2, 3, 18.02.2008.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Dolog P, Simon B, Nejdl W, Klobǔar T. Personalizing access to learning networks. ACM Transactions on Internet Technology. 2008 Feb 18;8(2):3. doi: 10.1145/1323651.1323654
Dolog, Peter ; Simon, Bernd ; Nejdl, Wolfgang et al. / Personalizing access to learning networks. in: ACM Transactions on Internet Technology. 2008 ; Jahrgang 8, Nr. 2.
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