Abstract | ||
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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. |
Year | Venue | Field |
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2015 | ICWL | Online learning,Open education,Computer science,Knowledge management,Open educational resources,Multimedia |
DocType | Citations | PageRank |
Conference | 2 | 0.48 |
References | Authors | |
4 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jun Wang | 1 | 3 | 8.66 |
Junfu Xiang | 2 | 2 | 0.82 |
Kanji Uchino | 3 | 11 | 3.13 |