Title
Interlinking educational resources and the web of data A survey of challenges and approaches
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.
Year
DOI
Venue
2013
10.1108/00330331211296312
PROGRAM-ELECTRONIC LIBRARY AND INFORMATION SYSTEMS
Keywords
Field
DocType
Linked data,Education,Technology-enhanced learning,Semantic web,Web data,Open educational resources,Information technology,Learning methods
Data science,De facto standard,Metadata,World Wide Web,Semantic technology,Information technology,Computer science,Interoperability,Linked data,Semantic Web,Open educational resources,Database
Journal
Volume
Issue
ISSN
47
1
0033-0337
Citations 
PageRank 
References 
30
2.02
71
Authors
7
Name
Order
Citations
PageRank
Stefan Dietze159768.07
Salvador Sanchez-Alonso2737.67
hannes ebner3302.02
Hong Qing Yu423716.94
Daniela Giordano529131.75
Ivana Marenzi66512.12
Bernardo Pereira Nunes718530.96