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Topic-Specific Recommendation for Open Education Resources

  • Jun WangEmail author
  • Junfu Xiang
  • Kanji Uchino
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9412)

Abstract

Most of the Open Educational Resources are scattered around the Web, and not well described and structured so causing huge problems in their use, search, organization and management. We present a system which can collect and analyze domain-specific contents from massive online learning materials and publications, and automatically identify domain-specific knowledge terms and aggregate them into well-organized topics. The system helps learners who want to learn cutting-edge technology to effectively and efficiently locate appropriate online courses and learning materials using topic-specific recommendation. We further examines the system with real-world data and applications.

Keywords

Open education resources Topic-specific recommendation Automated extraction of knowledge terms 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Fujitsu Laboratories of AmericaSunnyvaleUSA
  2. 2.Nanjing Fujitsu Nanda Software Technology Co., Ltd.NajingChina

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