Talk I gave at WISM’09-AICI'09 (2009 International Conference on Web Information Systems and Mining and the 2009 International Conference on Artificial Intelligence and Computational Intelligence) where I describe research opportunities offered by today's Web 2.0 and Semantic Web.

1. Opportunities for AI in Intelligent Web-based Technology-Supported Learning Carsten Ullrich Jian Wang Ruimin Shen Frank Quosdorf

2. Today’s Web: enormous potential for AI in technology supported learning.

3. Today’s Web: enormous potential for AI in technology supported learning. But potential is still under-exploited

4. Today’s Web: enormous potential for AI in technology supported learning. But potential is still under-exploited This talk: Trends

5. Today’s Web: enormous potential for AI in technology supported learning. But potential is still under-exploited This talk: Trends Example

6. Trends: Architecture of Assembly

7. APIs

10. Your own system

11. RSS

12. New Articles

13. New Data

14. Mash-ups Yahoo! Pipes http://www.flickr.com/photos/seeminglee/1950911618/

15. Widgets

16. Personal Learning Environments http://role-project.eu

18. Architecture of Assembly makes it easier to build complex services

19. Architecture of Assembly adds to Web of documents a layer of reusable services

20. Opportunities: -access to huge amounts of data useful for learning process; -analyze user generated content, e.g., to make estimations about their knowledge/competencies; -finding/combining services and combining to train specific skills.

21. Trend: User-Centered Web

22. Trend: User-Centered Web focuses on the individual using these documents and services

23. Network of documents Network of people

24. Live Streams Facebook Friendfeed

25. Today: Silos

26. OpenID: decentralized single-sign-on mechanism OAUTH: information exchange between services OpenSocial: APIs for common functionality for social applications

27. Information about user: Attention Profiling Markup Language (APML) Location data: Google Gears, Firefox

28. Amazing amounts of data about user available Opportunity: use this data for personalization

29. Trend: Semantics

30. Access to data no longer problem

31. Access to data no longer problem Problematic: Find specific relevant piece of information

32. Access to data no longer problem Problematic: Find specific relevant piece of information Combine data

33. Semantic Web

34. Linked Open Data Initiative Datasets include Wikipedia, DBLP, RKB Explorer, CIA World Fact Book, OpenCyc, …

38. How to Get Semantics?

43. Opportunities: - Semantic Content and Semantics for free enable amazing possibilities: improved quality of service, better categorization, recommendation, automatic linking with other resources, etc.

44. Example: Totuba Toolkit

45. - research workbench - bibliography manager - research network - support while writing research papers

49. Problems

50. Most services: English only Services can become unavailable

51. Lesson: To advance science, make research results available to other parties, as a Web service or open source.

52. Conclusion

53. Ground breaking services and data have now become basic commodity By building upon them, research in Technology-Enhanced Learning can tackle more meaningful problems

54. 谢谢！ [email_address] http://www.carstenullrich.net http:// www.slideshare.net/ullrich