Paper Info
Title
EduCOR: An Educational and Career-Oriented Recommendation Ontology
Abstract
With the increased dependence on online learning platforms and educational resource repositories, a unified representation of digital learning resources becomes essential to support a dynamic and multisource learning experience. We introduce the EduCOR ontology, an educational, career-oriented ontology that provides a foundation for representing online learning resources for personalised learning systems. The ontology is designed to enable learning material repositories to offer learning path recommendations, which correspond to the user's learning goals and preferences, academic and psychological parameters, and labour-market skills. We present the multiple patterns that compose the EduCOR ontology, highlighting its cross-domain applicability and integrability with other ontologies. A demonstration of the proposed ontology on the real-life learning platform eDoer is discussed as a use case. We evaluate the EduCOR ontology using both gold standard and taskbased approaches. The comparison of EduCOR to three gold schemata, and its application in two use -cases, shows its coverage and adaptability to multiple OER repositories, which allows generating user-centric and labour-market oriented recommendations. Resource: lit t ps://t ibout o.git lit tb. io/ed ucor/.
Year
DOI
Venue
2021
10.1007/978-3-030-88361-4_32
SEMANTIC WEB - ISWC 2021
Keywords
DocType
Volume
Ontology, Educational resources, OER, Education, Labour market, Skill, Learning path, User profile, Personalised recommendation
Conference
12922
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
18
7
Name
Order
Citations
PageRank
Eleni Ilkou101.35
Hasan Abu-Rasheed200.68
Mohammadreza Tavakoli331.80
Hakimov Sherzod431.79
Gábor Kismihók553.50
Sören Auer65711418.56
Wolfgang Nejdl76633556.13