Details
| Original language | English |
|---|---|
| Article number | 3 |
| Number of pages | 93 |
| Journal | ACM Transactions on Internet Technology |
| Volume | 8 |
| Issue number | 2 |
| Publication status | Published - 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.
Keywords
- Learning networks, Ontologies, Personalization, Personalized access, Semantic Web
ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications
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In: ACM Transactions on Internet Technology, Vol. 8, No. 2, 3, 18.02.2008.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Personalizing access to learning networks
AU - Dolog, Peter
AU - Simon, Bernd
AU - Nejdl, Wolfgang
AU - Klobǔar, Tomǎ
PY - 2008/2/18
Y1 - 2008/2/18
N2 - 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.
AB - 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.
KW - Learning networks
KW - Ontologies
KW - Personalization
KW - Personalized access
KW - Semantic Web
UR - http://www.scopus.com/inward/record.url?scp=40049111706&partnerID=8YFLogxK
U2 - 10.1145/1323651.1323654
DO - 10.1145/1323651.1323654
M3 - Article
AN - SCOPUS:40049111706
VL - 8
JO - ACM Transactions on Internet Technology
JF - ACM Transactions on Internet Technology
SN - 1533-5399
IS - 2
M1 - 3
ER -