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Exposing Social Data as Linked Data in Education

Exposing Social Data as Linked Data in Education

Enayat Rajabi, Wolfgang Greller
Copyright: © 2019 |Volume: 15 |Issue: 2 |Pages: 15
ISSN: 1552-6283|EISSN: 1552-6291|EISBN13: 9781522564454|DOI: 10.4018/IJSWIS.2019040105
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MLA

Rajabi, Enayat, and Wolfgang Greller. "Exposing Social Data as Linked Data in Education." IJSWIS vol.15, no.2 2019: pp.92-106. http://doi.org/10.4018/IJSWIS.2019040105

APA

Rajabi, E. & Greller, W. (2019). Exposing Social Data as Linked Data in Education. International Journal on Semantic Web and Information Systems (IJSWIS), 15(2), 92-106. http://doi.org/10.4018/IJSWIS.2019040105

Chicago

Rajabi, Enayat, and Wolfgang Greller. "Exposing Social Data as Linked Data in Education," International Journal on Semantic Web and Information Systems (IJSWIS) 15, no.2: 92-106. http://doi.org/10.4018/IJSWIS.2019040105

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Abstract

According to recent studies, the social interactions of users such as sharing, rating, and reviewing can improve the value of digital learning objects and resources on the web. Linked data techniques, on the other hand, make different kinds of data available and reusable for other applications on the web. Exposing (meta)data, especially with a complex structure, as resource description framework (RDF) requires an ontology to bring all the data types under one umbrella. In this article, the authors propose an ontology in which social activities of users are exposed as linked data by reusing existing vocabularies. The proposed ontology has been implemented in a federated open educational resources (OER) portal, in which they published ratings, shares, comments, and other social activities assigned to around 1,000 OERs. This exposure allows other datasets, including harvested repositories, to explore the exposed social data related to e-learning objects according to the users' social engagement.

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