MOOCLink

Building and utilizing linked data from Massive Open Online Courses

Sebastian Kagemann, Srividya Bansal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

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.

Original languageEnglish (US)
Title of host publicationProceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages373-380
Number of pages8
ISBN (Print)9781479979356
DOIs
StatePublished - Feb 26 2015
Event9th IEEE International Conference on Semantic Computing, IEEE ICSC 2015 - Anaheim, United States
Duration: Feb 7 2015Feb 9 2015

Other

Other9th IEEE International Conference on Semantic Computing, IEEE ICSC 2015
CountryUnited States
CityAnaheim
Period2/7/152/9/15

Fingerprint

Semantics
Data structures
Education
Industry

Keywords

  • education
  • linked data
  • ontology engineering
  • semantic application

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Software

Cite this

Kagemann, S., & Bansal, S. (2015). MOOCLink: Building and utilizing linked data from Massive Open Online Courses. In Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015 (pp. 373-380). [7050836] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICOSC.2015.7050836

MOOCLink : Building and utilizing linked data from Massive Open Online Courses. / Kagemann, Sebastian; Bansal, Srividya.

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 373-380 7050836.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kagemann, S & Bansal, S 2015, MOOCLink: Building and utilizing linked data from Massive Open Online Courses. in Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015., 7050836, Institute of Electrical and Electronics Engineers Inc., pp. 373-380, 9th IEEE International Conference on Semantic Computing, IEEE ICSC 2015, Anaheim, United States, 2/7/15. https://doi.org/10.1109/ICOSC.2015.7050836
Kagemann S, Bansal S. MOOCLink: Building and utilizing linked data from Massive Open Online Courses. In Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 373-380. 7050836 https://doi.org/10.1109/ICOSC.2015.7050836
Kagemann, Sebastian ; Bansal, Srividya. / MOOCLink : Building and utilizing linked data from Massive Open Online Courses. Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 373-380
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