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Opportunities for AI in  Intelligent Web-based Technology-Supported Learning Carsten Ullrich Jian Wang Ruimin Shen Frank Q...
Today’s Web: enormous  potential for AI in technology supported learning.
Today’s Web: enormous  potential for AI in technology supported learning. But potential is still under-exploited
Today’s Web: enormous  potential for AI in technology supported learning. But potential is still under-exploited This talk...
Today’s Web: enormous  potential for AI in technology supported learning. But potential is still under-exploited This talk...
Trends: Architecture of Assembly
APIs
 
 
Your own system
RSS
New Articles
New Data
Mash-ups Yahoo! Pipes http://www.flickr.com/photos/seeminglee/1950911618/
Widgets
Personal Learning Environments http://role-project.eu
 
Architecture of Assembly makes it easier to build complex services
Architecture of Assembly adds to Web of documents a layer of reusable services
Opportunities: -access to huge amounts of data useful for learning process; -analyze user generated content, e.g., to make...
Trend: User-Centered Web
Trend: User-Centered Web focuses on the individual using these documents and services
Network of documents Network of people
Live Streams Facebook Friendfeed
Today: Silos
OpenID: decentralized single-sign-on mechanism OAUTH: information exchange between services OpenSocial: APIs for common fu...
Information about user: Attention Profiling Markup Language (APML) Location data: Google Gears, Firefox
Amazing amounts of data about user available Opportunity: use this data for personalization
Trend: Semantics
Access to data no longer problem
Access to data no longer problem Problematic: Find specific relevant piece of information
Access to data no longer problem Problematic: Find specific relevant piece of information Combine data
Semantic Web
Linked Open Data Initiative Datasets include Wikipedia, DBLP, RKB Explorer, CIA World Fact Book, OpenCyc, …
 
 
 
How to Get Semantics?
Entity Extraction <ul><li>The term &quot;Web 2.0&quot; is used to describe applications that distinguish themselves from p...
Entity Extraction <ul><li>Gur grez &quot;Jro 2.0&quot; vf hfrq gb qrfpevor nccyvpngvbaf gung qvfgvathvfu gurzfryirf sebz c...
Entity Extraction <ul><li>Gur grez &quot; Jro 2.0 &quot; vf hfrq gb qrfpevor nccyvpngvbaf gung qvfgvathvfu gurzfryirf sebz...
Entity Extraction <ul><li>The term &quot;Web 2.0&quot; is used to describe applications that distinguish themselves from p...
Opportunities: - Semantic Content and Semantics for free enable amazing possibilities: improved quality of service, better...
Example: Totuba  Toolkit
- research workbench - bibliography manager - research network -  support while writing research papers
<ul><li>context-sensitive further reading </li></ul><ul><li>related topics </li></ul><ul><li>drag&drop referencing </li></ul>
Semantifying <ul><li>The term &quot;Web 2.0“... </li></ul>OpenCalais <ul><li>Web 2.0 </li></ul><ul><li>technology-supporte...
Related Topics: Web_2.0 in DBPedia <ul><li>skos:subject   </li></ul><ul><ul><li>dbpedia:Category:Buzzwords </li></ul></ul>...
Problems
Most services: English only Services can become unavailable
Lesson: To advance science, make research results available to other parties, as a Web service or open source.
Conclusion
Ground breaking services and data have now become basic commodity By building upon them, research in Technology-Enhanced L...
谢谢! [email_address] http://www.carstenullrich.net http:// www.slideshare.net/ullrich
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Opportunities for AI in Intelligent Web-based Technology-Supported Learning

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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.

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Opportunities for AI in Intelligent Web-based Technology-Supported Learning

  1. 1. Opportunities for AI in Intelligent Web-based Technology-Supported Learning Carsten Ullrich Jian Wang Ruimin Shen Frank Quosdorf
  2. 2. Today’s Web: enormous potential for AI in technology supported learning.
  3. 3. Today’s Web: enormous potential for AI in technology supported learning. But potential is still under-exploited
  4. 4. Today’s Web: enormous potential for AI in technology supported learning. But potential is still under-exploited This talk: Trends
  5. 5. Today’s Web: enormous potential for AI in technology supported learning. But potential is still under-exploited This talk: Trends Example
  6. 6. Trends: Architecture of Assembly
  7. 7. APIs
  8. 10. Your own system
  9. 11. RSS
  10. 12. New Articles
  11. 13. New Data
  12. 14. Mash-ups Yahoo! Pipes http://www.flickr.com/photos/seeminglee/1950911618/
  13. 15. Widgets
  14. 16. Personal Learning Environments http://role-project.eu
  15. 18. Architecture of Assembly makes it easier to build complex services
  16. 19. Architecture of Assembly adds to Web of documents a layer of reusable services
  17. 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.
  18. 21. Trend: User-Centered Web
  19. 22. Trend: User-Centered Web focuses on the individual using these documents and services
  20. 23. Network of documents Network of people
  21. 24. Live Streams Facebook Friendfeed
  22. 25. Today: Silos
  23. 26. OpenID: decentralized single-sign-on mechanism OAUTH: information exchange between services OpenSocial: APIs for common functionality for social applications
  24. 27. Information about user: Attention Profiling Markup Language (APML) Location data: Google Gears, Firefox
  25. 28. Amazing amounts of data about user available Opportunity: use this data for personalization
  26. 29. Trend: Semantics
  27. 30. Access to data no longer problem
  28. 31. Access to data no longer problem Problematic: Find specific relevant piece of information
  29. 32. Access to data no longer problem Problematic: Find specific relevant piece of information Combine data
  30. 33. Semantic Web
  31. 34. Linked Open Data Initiative Datasets include Wikipedia, DBLP, RKB Explorer, CIA World Fact Book, OpenCyc, …
  32. 38. How to Get Semantics?
  33. 39. Entity Extraction <ul><li>The term &quot;Web 2.0&quot; is used to describe applications that distinguish themselves from previous generations of software by a number of principles. Existing work shows that Web 2.0 applications can be successfully exploited for technology-enhanced learning. However, in-depth analyses of the relationship between Web 2.0 technology on the one hand and teaching and learning on the other hand are still rare. </li></ul>
  34. 40. Entity Extraction <ul><li>Gur grez &quot;Jro 2.0&quot; vf hfrq gb qrfpevor nccyvpngvbaf gung qvfgvathvfu gurzfryirf sebz cerivbhf trarengvbaf bs fbsgjner ol n ahzore bs cevapvcyrf. Rkvfgvat jbex fubjf gung Jro 2.0 nccyvpngvbaf pna or fhpprffshyyl rkcybvgrq sbe grpuabybtl-raunaprq yrneavat. Ubjrire, va-qrcgu nanylfrf bs gur eryngvbafuvc orgjrra Jro 2.0 grpuabybtl ba gur bar unaq naq grnpuvat naq yrneavat ba gur bgure unaq ner fgvyy ener. </li></ul>This is what it looks like to the machine!
  35. 41. Entity Extraction <ul><li>Gur grez &quot; Jro 2.0 &quot; vf hfrq gb qrfpevor nccyvpngvbaf gung qvfgvathvfu gurzfryirf sebz cerivbhf trarengvbaf bs fbsgjner ol n ahzore bs cevapvcyrf. Rkvfgvat jbex fubjf gung Jro 2.0 nccyvpngvbaf pna or fhpprffshyyl rkcybvgrq sbe grpuabybtl-raunaprq yrneavat . Ubjrire, va-qrcgu nanylfrf bs gur eryngvbafuvc orgjrra Jro 2.0 grpuabybtl ba gur bar unaq naq grnpuvat naq yrneavat ba gur bgure unaq ner fgvyy ener. </li></ul>OpenCalais <ul><li>Jro 2.0 </li></ul><ul><li>grpuabybtl-raunaprq yrneavat </li></ul>
  36. 42. Entity Extraction <ul><li>The term &quot;Web 2.0&quot; is used to describe applications that distinguish themselves from previous generations of software by a number of principles. Existing work shows that Web 2.0 applications can be successfully exploited for technology-enhanced learning. However, in-depth analyses of the relationship between Web 2.0 technology on the one hand and teaching and learning on the other hand are still rare. </li></ul>OpenCalais <ul><li>Web 2.0 </li></ul><ul><li>technology-supported learning </li></ul>
  37. 43. Opportunities: - Semantic Content and Semantics for free enable amazing possibilities: improved quality of service, better categorization, recommendation, automatic linking with other resources, etc.
  38. 44. Example: Totuba Toolkit
  39. 45. - research workbench - bibliography manager - research network - support while writing research papers
  40. 46. <ul><li>context-sensitive further reading </li></ul><ul><li>related topics </li></ul><ul><li>drag&drop referencing </li></ul>
  41. 47. Semantifying <ul><li>The term &quot;Web 2.0“... </li></ul>OpenCalais <ul><li>Web 2.0 </li></ul><ul><li>technology-supported learning </li></ul>DBPedia (others: Yago, Freebase, UMBEL) <ul><li>http://dbpedia.org/resource/Web_2.0 </li></ul><ul><li>http://dbpedia.org/resource/Technology-Enhanced_Learning </li></ul>
  42. 48. Related Topics: Web_2.0 in DBPedia <ul><li>skos:subject </li></ul><ul><ul><li>dbpedia:Category:Buzzwords </li></ul></ul><ul><ul><li>dbpedia:Category:Branding </li></ul></ul><ul><ul><li>dbpedia:Category:Cloud_applications </li></ul></ul><ul><ul><li>dbpedia:Category:Internet_memes </li></ul></ul><ul><ul><li>dbpedia:Category:Social_Information_Processing </li></ul></ul><ul><ul><li>dbpedia:Category:World_Wide_Web </li></ul></ul><ul><ul><li>dbpedia:Category:Web_2.0 </li></ul></ul><ul><ul><li>dbpedia:Category:Web_services </li></ul></ul>
  43. 49. Problems
  44. 50. Most services: English only Services can become unavailable
  45. 51. Lesson: To advance science, make research results available to other parties, as a Web service or open source.
  46. 52. Conclusion
  47. 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
  48. 54. 谢谢! [email_address] http://www.carstenullrich.net http:// www.slideshare.net/ullrich

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