Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | The Semantic Web – ISWC 2021 |
| Untertitel | 20th International Semantic Web Conference, ISWC 2021, Proceedings |
| Herausgeber/-innen | Andreas Hotho, Eva Blomqvist, Stefan Dietze, Achille Fokoue, Ying Ding, Payam Barnaghi, Armin Haller, Mauro Dragoni, Harith Alani |
| Erscheinungsort | Cham |
| Herausgeber (Verlag) | Springer Science and Business Media Deutschland GmbH |
| Seiten | 546-562 |
| Seitenumfang | 17 |
| ISBN (elektronisch) | 978-3-030-88361-4 |
| ISBN (Print) | 9783030883607 |
| Publikationsstatus | Veröffentlicht - 30 Sept. 2021 |
| Veranstaltung | 20th International Semantic Web Conference, ISWC 2021 - Virtual, Online Dauer: 24 Okt. 2021 → 28 Okt. 2021 |
Publikationsreihe
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Band | 12922 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (elektronisch) | 1611-3349 |
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 multi-source 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 task-based 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: https://tibonto.github.io/educor/.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Theoretische Informatik
- Informatik (insg.)
- Allgemeine Computerwissenschaft
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The Semantic Web – ISWC 2021 : 20th International Semantic Web Conference, ISWC 2021, Proceedings. Hrsg. / Andreas Hotho; Eva Blomqvist; Stefan Dietze; Achille Fokoue; Ying Ding; Payam Barnaghi; Armin Haller; Mauro Dragoni; Harith Alani. Cham: Springer Science and Business Media Deutschland GmbH, 2021. S. 546-562 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 12922 LNCS).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - EduCOR
T2 - 20th International Semantic Web Conference, ISWC 2021
AU - Ilkou, Eleni
AU - Abu-Rasheed, Hasan
AU - Tavakoli, Mohammadreza
AU - Hakimov, Sherzod
AU - Kismihók, Gábor
AU - Auer, Sören
AU - Nejdl, Wolfgang
N1 - Funding Information: We would like to thank Dr. Javad Chamanara for setting up the ontology page. This work was partially funded by the European Union?s Horizon 2020 research and innovation program under the Marie Sk?lodowska-Curie project Know-graphs (grant agreement ID: 860801), the European Research Council for the project ScienceGRAPH (grant agreement ID: 819536) and the ERASMUS+ Key Action 204 Higher Education project OSCAR (grant agreement ID: 2020-1-DE01-KA203-005713).
PY - 2021/9/30
Y1 - 2021/9/30
N2 - 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 multi-source 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 task-based 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: https://tibonto.github.io/educor/.
AB - 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 multi-source 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 task-based 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: https://tibonto.github.io/educor/.
KW - Education
KW - Educational resources
KW - Labour market
KW - Learning path
KW - OER
KW - Ontology
KW - Personalised recommendation
KW - Skill
KW - User profile
UR - http://www.scopus.com/inward/record.url?scp=85116945702&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-88361-4_32
DO - 10.1007/978-3-030-88361-4_32
M3 - Conference contribution
AN - SCOPUS:85116945702
SN - 9783030883607
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 546
EP - 562
BT - The Semantic Web – ISWC 2021
A2 - Hotho, Andreas
A2 - Blomqvist, Eva
A2 - Dietze, Stefan
A2 - Fokoue, Achille
A2 - Ding, Ying
A2 - Barnaghi, Payam
A2 - Haller, Armin
A2 - Dragoni, Mauro
A2 - Alani, Harith
PB - Springer Science and Business Media Deutschland GmbH
CY - Cham
Y2 - 24 October 2021 through 28 October 2021
ER -