A Semantic Approach to Cross-Disciplinary Research Collaboration

Authors

  • Laurens De Vocht Ghent University - iMinds
  • Davy Van Deursen
  • Erik Mannens
  • Rik Van de Walle

DOI:

https://doi.org/10.3991/ijet.v7iS2.2331

Keywords:

Learning Objects, Linked Data, Research 2.0, Social Media, Technology Enhanced Learning

Abstract


The latest developments in ICT, more specifically Social Media and Web 2.0 tools, facilitate the use of online services in research and education. This is also known as Research 2.0 and Technology Enhanced Learning. Web 2.0 tools are especially useful in cases where experts from different disciplines want to collaborate. We suggest an integrated method that embeds these services in research and learning processes, because it is a laborious task for researchers and learners to check and use all varying types of tools and services. We explain a flexible model that uses state-of-the-art semantic technologies to model both structured and unstructured research data. The research data is extracted from many online resources and Social Media. We implement learning objects as an abstraction of the semantically modeled research data. We propose an environment that improves the scientific research and learning process by allowing researchers to efficiently browse the information and concepts represented as learning objects.

Author Biography

Laurens De Vocht, Ghent University - iMinds

PhD candidate researcher at the Department of Electronics and Information Systems (ELIS)

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Published

2012-11-14

How to Cite

De Vocht, L., Van Deursen, D., Mannens, E., & Van de Walle, R. (2012). A Semantic Approach to Cross-Disciplinary Research Collaboration. International Journal of Emerging Technologies in Learning (iJET), 7(S2), pp. 22–30. https://doi.org/10.3991/ijet.v7iS2.2331

Issue

Vol. 7 (2012): Special Issue: FNMA

Section

Papers

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