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“A whistle-stop tour of
digital technology”
16th October 2008
Web 3D
3D
Sp
ac
es
: W
on
de
rla
nd
Immersivemedia.com
Multitouch „screens‟
Cooliris
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.co
m/watch?v=T0QJmm
dw3b0
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
Artificial Intelligence
Web 3.0 Intelligent Web
AI : Physical ExampleActivity Zones for Context-Aware Computing
AI: How ?
Slide 25
Date to go
ArtificialintelligenceMarketing.com
Slide 26
Date to go
here
