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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ullrich, C. Jian Wang Ruimin Shen Quosdorf, F. |
| Copyright Year | 2009 |
| Abstract | The Web is still changing at a rapid rate. Principles that define the Web 2.0 are now better understood than a few years ago, but continue to evolve. The Semantic Web is coming of age, resulting, for instance, in a significant amount of data now being available as Linked Open Data. Advanced Web services make sophisticated functionality such as entity extraction and location-data available for free. Against this background, we feel that the potential of today's Web for intelligent technology-supported learning is under-exploited. Especially for AI exciting research opportunities arise from building on top of available data and services. In this paper, we sketch the current state of the art of Web data and services, highlight potential future development and point out opportunities and challenges for Web-based technology-supported learning. |
| Starting Page | 510 |
| Ending Page | 514 |
| File Size | 156438 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424438358 |
| DOI | 10.1109/AICI.2009.69 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-07 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Web 2.0 Semantic Web Learning Computer science Semantic web Web services Mash-up Computer architecture Computational and artificial intelligence Competitive intelligence Artificial intelligence Assembly Computational intelligence Technology-supported learning |
| Content Type | Text |
| Resource Type | Article |
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