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“A whistle-stop tour of digital technology”16thOctober 2008
Web 3D
3D Spaces : Home
3D Spaces :  Wonderland
Immersivemedia.com
Yammer.com
Crowdsourcing : Google Image Labeler
Multitouch ‘screens’
HP Touchsmart
Cooliris
Fingertapps.com
Still highly speculative but starting to take shape Web 3.0
Web 3.0 : What ? Intelligent Web Semantic Web Data-mining Machine Learning Artificial Intelligence http://uk.youtube.com/watch?v=T0QJmmdw3b0
Web 3.0 : When ? Third decade of the Web  (2010-2020)
Web 3.0 : How ?  Open technologies : API vs UI Semantic Web : RDF (like RSS) Open identity : OpenID Distributed databases
Open University : SocialLearn
SocialLearn : Scenario Character:  Ellen is a professional vet, living in Wales. She is married, with a four year old son and is a fan of 60s sci-fi movies and is a keen skier. Scenario:  Ellen is called out to look at a sick Pot Bellied Pig. She is unsure of the symptoms, but thinks she has a diagnosis.  She uses her mobile device to put out a call for help on her learner network. This is built on top of Twitter and allows her to filter tweets to groups, e.g. ‘vets’, ‘parents’, ‘friends’, etc.  Dan, from Sussex is an expert in Pot Bellied pigs and confirms her diagnosis, sending her a link to a resource.  She saves this to her study list in her learner profile, with the tags ‘vet’, ‘pigs’ it is automatically added to her To Do list in Remember the Milk, so she will study it later.
Part 2 Her current goals/interests are “ To learn snowboarding”,  “60s Sci-Fi movies”,  “Blue Tongue virus”,  “Teaching children French”  “Harry Potter novels”.  Content related to each of these is found using data-mining, and social recommendations, building on 43Things.  Recommended resources are then attached to each goal, with a score, and a category, e.g. ‘video’, ‘book’, ‘person’, ‘course’, etc
Twine.comFacebook + Wikipedia = Web 3.0
Ubiquity
multitouch-this.com Slide 22 Date to go here
Artificial Intelligence Web 3.0 Intelligent Web
AI : Physical Example Activity Zones for Context-Aware Computing
AI: How ? Collect Reason Act Slide 25 Date to go here
ArtificialintelligenceMarketing.com Slide 26 Date to go here
Thank you !

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A whistle-stop tour of emerging digital technologies

  • 1. “A whistle-stop tour of digital technology”16thOctober 2008
  • 3. 3D Spaces : Home
  • 4. 3D Spaces : Wonderland
  • 7. Crowdsourcing : Google Image Labeler
  • 12. Still highly speculative but starting to take shape Web 3.0
  • 13. Web 3.0 : What ? Intelligent Web Semantic Web Data-mining Machine Learning Artificial Intelligence http://uk.youtube.com/watch?v=T0QJmmdw3b0
  • 14.
  • 15. Web 3.0 : When ? Third decade of the Web (2010-2020)
  • 16. Web 3.0 : How ? Open technologies : API vs UI Semantic Web : RDF (like RSS) Open identity : OpenID Distributed databases
  • 17. Open University : SocialLearn
  • 18. SocialLearn : Scenario Character: Ellen is a professional vet, living in Wales. She is married, with a four year old son and is a fan of 60s sci-fi movies and is a keen skier. Scenario: Ellen is called out to look at a sick Pot Bellied Pig. She is unsure of the symptoms, but thinks she has a diagnosis. She uses her mobile device to put out a call for help on her learner network. This is built on top of Twitter and allows her to filter tweets to groups, e.g. ‘vets’, ‘parents’, ‘friends’, etc. Dan, from Sussex is an expert in Pot Bellied pigs and confirms her diagnosis, sending her a link to a resource. She saves this to her study list in her learner profile, with the tags ‘vet’, ‘pigs’ it is automatically added to her To Do list in Remember the Milk, so she will study it later.
  • 19. Part 2 Her current goals/interests are “ To learn snowboarding”, “60s Sci-Fi movies”, “Blue Tongue virus”, “Teaching children French” “Harry Potter novels”. Content related to each of these is found using data-mining, and social recommendations, building on 43Things. Recommended resources are then attached to each goal, with a score, and a category, e.g. ‘video’, ‘book’, ‘person’, ‘course’, etc
  • 22. multitouch-this.com Slide 22 Date to go here
  • 23. Artificial Intelligence Web 3.0 Intelligent Web
  • 24. AI : Physical Example Activity Zones for Context-Aware Computing
  • 25. AI: How ? Collect Reason Act Slide 25 Date to go here

Editor's Notes

  1. http://www.innocentive.com http://labs.mozilla.com/projects/concept-series/
  2. Knowledge Networking