Title :
MOOCLink: Building and utilizing linked data from Massive Open Online Courses
Author :
Kagemann, Sebastian ; Bansal, Srividya
Author_Institution :
Sch. of Inf. & Comput., Indiana Univ., Bloomington, IN, USA
Abstract :
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.
Keywords :
courseware; data handling; data models; distance learning; ontologies (artificial intelligence); portals; semantic Web; Linked Data; MOOC providers; MOOCLink; Web portal; data connection; educational data; massive open online courses; ontology; open courseware comparison; open courseware discovery; publishing; semantic data mark up; semantic data model; semantic technolog; Courseware; Data models; HTML; Joining processes; Navigation; Semantics; XML; education; linked data; ontology engineering; semantic application;
Conference_Titel :
Semantic Computing (ICSC), 2015 IEEE International Conference on
Conference_Location :
Anaheim, CA
DOI :
10.1109/ICOSC.2015.7050836
