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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Memmel, M. Schirru, R. Wolpers, M. Tomadaki, E. |
| Copyright Year | 2008 |
| Description | Author affiliation: Knowledge Manage. Dept., DFKI GmbH, Kaiserslautern (Memmel, M.; Schirru, R.) |
| Abstract | Today, users do not only access learning resources stored in traditional repositories. They use any kind of digital resource, often generated in the context of social media platforms. When trying to improve the learning experience, it is crucial that all resources that are potentially useful are accessible; and that the resources are described in a way that allows to identify what is relevant. We suggest enriching learning resource descriptions by combining metadata generated by experts, user interactions, observation components and machine-generated metadata. We give a brief example of the compilation of rich metadata sets by integrating the social media platform ALOE with resources and metadata from the Ariadne knowledge pool and public FlashMeeting replays. |
| Starting Page | 930 |
| Ending Page | 932 |
| File Size | 191314 |
| Page Count | 3 |
| File Format | |
| ISBN | 9780769531670 |
| DOI | 10.1109/ICALT.2008.131 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-07-01 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Knowledge management Machine learning Electronic learning Content management Environmental management Software libraries Production user generated content metadata social media web2.0 repository referatory learning |
| Content Type | Text |
| Resource Type | Article |
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