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  • 标题:A Semantic Approach to Cross-Disciplinary Research Collaboration
  • 其他标题:A Semantic Approach to Cross-Disciplinary Research Collaboration
  • 本地全文:下载
  • 作者:Laurens De Vocht ; Davy Van Deursen ; Erik Mannens
  • 期刊名称:International Journal of Emerging Technologies in Learning (iJET)
  • 印刷版ISSN:1863-0383
  • 出版年度:2012
  • 卷号:7
  • 期号:S2
  • 页码:22-30
  • 语种:English
  • 出版社:Kassel University Press
  • 摘要: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.
  • 关键词:Learning Objects; Linked Data; Research 2.0; Social Media; Technology Enhanced Learning
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