Details
| Original language | English |
|---|---|
| Pages (from-to) | 60-91 |
| Number of pages | 32 |
| Journal | Program |
| Volume | 47 |
| Issue number | 1 |
| Publication status | Published - Feb 2013 |
Abstract
Purpose: Research in the area of technology-enhanced learning (TEL) throughout the last decade has largely focused on sharing and reusing educational resources and data. This effort has led to a fragmented landscape of competing metadata schemas, or interface mechanisms. More recently, semantic technologies were taken into account to improve interoperability. The linked data approach has emerged as the de facto standard for sharing data on the web. To this end, it is obvious that the application of linked data principles offers a large potential to solve interoperability issues in the field of TEL. This paper aims to address this issue. Design/methodology/approach: In this paper, approaches are surveyed that are aimed towards a vision of linked education, i.e. education which exploits educational web data. It particularly considers the exploitation of the wealth of already existing TEL data on the web by allowing its exposure as linked data and by taking into account automated enrichment and interlinking techniques to provide rich and well-interlinked data for the educational domain. Findings: So far web-scale integration of educational resources is not facilitated, mainly due to the lack of take-up of shared principles, datasets and schemas. However, linked data principles increasingly are recognized by the TEL community. The paper provides a structured assessment and classification of existing challenges and approaches, serving as potential guideline for researchers and practitioners in the field. Originality/value: Being one of the first comprehensive surveys on the topic of linked data for education, the paper has the potential to become a widely recognized reference publication in the area.
Keywords
- Education, Information technology, Learning methods, Linked data, Open educational resources, Semantic web, Technology-enhanced learning, Web data
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems
- Social Sciences(all)
- Library and Information Sciences
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In: Program, Vol. 47, No. 1, 02.2013, p. 60-91.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Interlinking educational resources and the web of data
T2 - A survey of challenges and approaches
AU - Dietze, Stefan
AU - Sanchez-Alonso, Salvador
AU - Ebner, Hannes
AU - Yu, Hong Qing
AU - Giordano, Daniela
AU - Marenzi, Ivana
AU - Nunes, Bernardo Pereira
PY - 2013/2
Y1 - 2013/2
N2 - Purpose: Research in the area of technology-enhanced learning (TEL) throughout the last decade has largely focused on sharing and reusing educational resources and data. This effort has led to a fragmented landscape of competing metadata schemas, or interface mechanisms. More recently, semantic technologies were taken into account to improve interoperability. The linked data approach has emerged as the de facto standard for sharing data on the web. To this end, it is obvious that the application of linked data principles offers a large potential to solve interoperability issues in the field of TEL. This paper aims to address this issue. Design/methodology/approach: In this paper, approaches are surveyed that are aimed towards a vision of linked education, i.e. education which exploits educational web data. It particularly considers the exploitation of the wealth of already existing TEL data on the web by allowing its exposure as linked data and by taking into account automated enrichment and interlinking techniques to provide rich and well-interlinked data for the educational domain. Findings: So far web-scale integration of educational resources is not facilitated, mainly due to the lack of take-up of shared principles, datasets and schemas. However, linked data principles increasingly are recognized by the TEL community. The paper provides a structured assessment and classification of existing challenges and approaches, serving as potential guideline for researchers and practitioners in the field. Originality/value: Being one of the first comprehensive surveys on the topic of linked data for education, the paper has the potential to become a widely recognized reference publication in the area.
AB - Purpose: Research in the area of technology-enhanced learning (TEL) throughout the last decade has largely focused on sharing and reusing educational resources and data. This effort has led to a fragmented landscape of competing metadata schemas, or interface mechanisms. More recently, semantic technologies were taken into account to improve interoperability. The linked data approach has emerged as the de facto standard for sharing data on the web. To this end, it is obvious that the application of linked data principles offers a large potential to solve interoperability issues in the field of TEL. This paper aims to address this issue. Design/methodology/approach: In this paper, approaches are surveyed that are aimed towards a vision of linked education, i.e. education which exploits educational web data. It particularly considers the exploitation of the wealth of already existing TEL data on the web by allowing its exposure as linked data and by taking into account automated enrichment and interlinking techniques to provide rich and well-interlinked data for the educational domain. Findings: So far web-scale integration of educational resources is not facilitated, mainly due to the lack of take-up of shared principles, datasets and schemas. However, linked data principles increasingly are recognized by the TEL community. The paper provides a structured assessment and classification of existing challenges and approaches, serving as potential guideline for researchers and practitioners in the field. Originality/value: Being one of the first comprehensive surveys on the topic of linked data for education, the paper has the potential to become a widely recognized reference publication in the area.
KW - Education
KW - Information technology
KW - Learning methods
KW - Linked data
KW - Open educational resources
KW - Semantic web
KW - Technology-enhanced learning
KW - Web data
UR - http://www.scopus.com/inward/record.url?scp=84873460445&partnerID=8YFLogxK
U2 - 10.1108/00330331211296312
DO - 10.1108/00330331211296312
M3 - Article
AN - SCOPUS:84873460445
VL - 47
SP - 60
EP - 91
JO - Program
JF - Program
SN - 0033-0337
IS - 1
ER -