The best minds on our planet are suggesting that the Internet will continue to be arguably the most influential invention of our time. We are in the midst of a highly dynamic and dramatically changing landscape. Where Web 1.0 made us consumers of information, Web 2.0 allowed us to be participators and creators. Web 3.0 and the Semantic Web technologies are beginning to play a larger and more significant role in the search and filtering of the content fire hose that teachers and students encounter each day. How will the semantic web influence our learning and teaching encounters on the web? What is the connection between meaning and data? Will search or discovery be the main driving force in the 3.0 information revolution? How will information and knowledge creation in a semantic-powered online world develop? This session will draw on Semantic Web research and developments and show how connecting, collaborating and networking in a Web 3.0 world is changing the ground-rules once again.

1. The Next Big Thing is Web 3.0:
Catch it if you can! Judy O’Connell
FACULTY OF EDUCATION

2. http://flic.kr/p/7wne8L

3. cc licensed ( BY NC ) flickr photo by Pete Ashton: http://flickr.com/photos/peteashton/224700908/

4. cc licensed ( BY ) flickr photo by Mykl Roventine: http://flickr.com/photos/myklroventine/3867744073/

5. •
Personal learning environment – relying on the people we
connect with through social networks and collaborative tools e.g.
Twitter, Yammer.
•
Personal learning network – learning content is not as important
as knowing where or to whom to connect and find content e.g.
Skype in the Classroom, iTunes U.
•
Personal web tools – used for tracking our life and powering our
learning e.g. photos to Facebook, excursion pictures to Flickr.
•
Cloud computing – supporting open access between sources
and devices rather than being locked to software and individual
computers. e.g. Edmodo, Evernote, Diigo.
•
Mixed reality – encompassed by e-devices and augmented
reality e.g. ebooks, QRcodes, Layar browser.

6. Personal Learning Environment
Steve
Wheeler
&
Manish
Malik
(2010)
cc
Steve
Wheeler,
University
of
Plymouth,
2010
Source: http://steve-wheeler.blogspot.com/2010/07/anatomy-of-ple.html

7. cc licensed ( BY ) flickr photo by Mykl Roventine: http://flickr.com/photos/myklroventine/3867744073/

8. cc licensed ( BY SD ) flickr photo by See-ming Lee SML: http://flickr.com/photos/seeminglee/3983055366/

9. semantic
cc licensed ( BY ) flickr photo by paul (dex): http://flickr.com/photos/dexxus/3146028811/

10. cc licensed ( BY ) flickr photo by paul (dex): http://flickr.com/photos/dexxus/3146028811/

11. !!""#$%&%"'(%%)%*+",-.&%*/.$0"12"3)0415$(+"6787"
Degree of Information Connectivity
Web 3.0 Web x.0
Semantic Web Meta Web
Web 1.0 Web 2.0
The Web Social Web
Degree of Social Connectivity

12. revolutionising
Semantic Web knowledge discovery

14. cc licensed ( BY NC SD ) flickr photo by Jason A. Samfield: http://flickr.com/photos/jason-samfield/4736792714/

15. You won’t see a “Web 3.0 inside’ label

16. The semantic web
allows a person or a
computer to start off
in one database,
and then move
through an
unending set of
databases which
are connected, not
by wires, but by
being about the
same thing.
cc licensed ( BY ) flickr photo by woodleywonderworks: http://flickr.com/photos/wwworks/2102790208/

17. Rather than just
identifying keywords
and expressions, the
semantic web
concentrates on
identifying the
meaning of content.

18. cc licensed flickr photo by ralphbijker: http://flickr.com/photos/17258892@N05/2588347668/

21. !

22. 1. Use URIs as names for things
2. Use HTTP URIs so that people can look up
those names.
3. When someone looks up a URI, provide useful
information using RDF standards
4. Include links to other URIs so they can discover
more things

24. “Linking Open Data cloud diagram, by Richard Cyganiak and Anja Jentzsch. http://lod-cloud.net/”

26. http://awesome.good.is/transparency/web/1108/deadliest-pandemics/flash.html

28. If my grandchildren ever ask me
where I was when I realised the
internet was over – they won't,
of course, because they'll be
too busy playing with the
teleportation console
http://www.guardian.co.uk/technology/2011/mar/15/sxsw-2011-internet-online

30. IKEA
WIKITUDE
cc licensed ( BY NC SD ) flickr photo by Esteban Trigos: http://flickr.com/photos/algoquehacer/4175496195/
cc licensed ( BY SD ) flickr photo by WIKITUDE: http://flickr.com/photos/wikitude/5508950006/

31. 1st AUGMENTED REALITY FLASH MOB: Dam Square, Amsterdam, saturday 24th of April
Photographing empty space beside because that space was occupied by
virtual 'human sculptures', brought alive by Augmented Reality applications
http://sndrv.nl/ARflashmob/

32. http://atlantis.lego.com/en-us/augmented/default.aspx

33. cc licensed ( BY NC ) flickr photo by Anthony Mattox: http://flickr.com/photos/amattox/3236510649/

36. Yet Google can’t find everything, and it is
important to understand limitations.
36
hAp://www.flickr.com/photos/tjt195/501975860/

37. cc licensed ( BY ) flickr photo by tarotastic: http://flickr.com/photos/tjt195/509241247/

38. 38
cc
licensed
(
BY
NC
)
flickr
photo
by
Cayusa:
hAp://flickr.com/photos/cayusa/1444806159/

39. ..... because your knowledge and my
knowledge, based on what search
results we are served, may be very
different from each other.
Siva
Vaidhyanathan
in
The
Googlization
of
Everything,
Filter bubble!

40. cc licensed ( BY NC SD ) flickr photo by Έλενα Λαγαρία: http://flickr.com/photos/29393867@N07/3161212158/

41. http://bit.ly/knowledge2
cc licensed ( BY ) flickr photo by tarotastic: http://flickr.com/photos/tjt195/509241247/

43. cc licensed ( BY NC SD ) flickr photo by nicodeux: http://flickr.com/photos/nicodeux/2880368340/

44. cc licensed ( BY NC ) flickr photo by Ahd Photography: http://flickr.com/photos/ahdchild/5547242030/

46. http://www.pandia.com/

47. http://www.wolframalpha.com/educators/
can perform computations on
over 10 trillion points of data

48. http://dontbubble.us/

50. 1- Handling morphological variations (tenses, plurals etc)
2- Handling synonyms with correct senses (cure, heal, treat,.. etc.)
3- Handling generalizations (disease = GERD, ALS, AIDS, etc.)
4- Handling concept matching ("what treats headache" needs concept matching such
that migraine belongs to the concept of headache in the medical sense.)
5- Handling knowledge matching (swine flu = H1N1, flu=influenza.)
6- Handling natural language queries and questions (what, where, how, why, etc.)
7- Ability to point to uninterrupted paragraph & the most relevant sentence
8- Ability to enter queries freely, no special formats like quotes, or Boolean
operators
9- Ability to operate without relying on statistics, user behaviour, and other
artificial means
10- Ability to detect its own performance http://company.hakia.com/new/whatis.html

51. http://www.cluuz.com/
http://www.kngine.com
http://swoogle.umbc.edu/

52. 52

53. cc licensed ( BY SD ) flickr photo by TheAlieness GiselaGiardino²³: http://flickr.com/photos/gi/128215285/

55. cc licensed ( BY SD ) flickr photo by Mukumbura: http://flickr.com/photos/mukumbura/4043364183/

56. cc licensed ( BY SD ) flickr photo by Mukumbura: http://flickr.com/photos/mukumbura/4043364183/

57. heyjudeonline
Judy O’Connell
http://heyjude.wordpress.com
Judy O’Connell

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