MOOCLink: Building and Utilizing Linked Data from Massive Open Online Courses

被引:0
|
作者
Kagemann, Sebastian [1 ]
Bansal, Srividya [2 ]
机构
[1] Indiana Univ, Sch Informat & Comp, Bloomington, IN 47405 USA
[2] Arizona State Univ, Sch Comp Informat & Decis Syst Engn, Mesa, AZ 85212 USA
关键词
semantic application; linked data; education; ontology engineering;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Linked Data is an emerging trend on the web with top companies promoting their own means of marking up data semantically, publishing and connecting data on Web. Despite the increasing prevalence of Linked Data, there are a limited number of applications that implement and take advantage of its capabilities, particularly in the domain of education. In this project we are using Semantic technologies to create a semantic data model for educational data, more specifically data about Massive Open Online Courses (MOOCs) and publishing this data as linked data on the Web. Data from various MOOC providers is integrated and published as Linked Data. We present a web portal called MOOCLink that utilizes the data to discover and compare open courseware.
引用
收藏
页码:373 / 380
页数:8
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