Linked Data in Education: A Survey and a Synthesis of Actual Research and Future Challenges

被引：28

作者：

Pereira, Crystiam Kelle ^{[1
]}

Matsui Siqueira, Sean Wolfgand ^{[1
]}

Nunes, Bernardo Pereira ^{[1
,2
]}

Dietze, Stefan ^{[3
]}

机构：

[1] Fed Univ State Rio de Janeiro UNIRIO, Dept Appl Informat DIA, Av Pasteur 458, BR-22290240 Urca, RJ, Brazil

[2] PUC Rio, Dept Informat, Rua Marques Sao Vicente 455, BR-22451900 Gavea, RJ, Brazil

[3] Leibniz Univ Hannover, L3S Res Ctr, D-30001 Hannover, Germany

来源：

IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES | 2018年 / 11卷 / 03期

关键词：

Linked data; web of data; linked open data; semantic web; semantic technology; educational technology; vocabulary; tools; SEMANTIC WEB; ENGINEERING-EDUCATION; RESOURCES; RECOMMENDATION; REPOSITORIES; ANNOTATION; LINKING; DBPEDIA; COURSES; SYSTEM;

D O I：

10.1109/TLT.2017.2787659

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Linked Data principles and technologies are being investigated in various areas. In the Educational context, many studies are using Linked Data trying to solve problems of interoperability of educational data and resources, enriching educational content, and personalizing and recommending educational content and practices. This article presents a systematic mapping of proposals which have been adopting Linked Data to support education, and, based on analysis of these proposals, we discuss the tools, vocabularies, and datasets being used, providing a research landscape of the area. We also present challenges and trends which can foster future research in this area.

引用

页码：400 / 412

页数：13

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