Personalizing Access to Learning Networks

Peter Dolog, Bernd Simon, Wolfgang Nejdl, Tomaz Klobucar

Research output: Contribution to journalJournal articleResearchpeer-review

29 Citations (Scopus)
698 Downloads (Pure)

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.
Original languageEnglish
JournalACM Transactions on Internet Technology
Volume8
Issue number2
Pages (from-to)1-21
Number of pages21
ISSN1533-5399
DOIs
Publication statusPublished - 2008

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