The Next Big Thing is Web 3.0. Catch It If You Can
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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.
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The Next Big Thing is Web 3.0. Catch It If You Can
- 1. The Next Big Thing is Web 3.0: Catch it if you can! Judy O’Connell FACULTY OF EDUCATION
- 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/”
- 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/
- 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/
- 47. http://www.wolframalpha.com/educators/ can perform computations on over 10 trillion points of data
- 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
- 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/
- 59. !"#$%&$'(#)"*+%,"#' !!!"#!$"%&'"()* '&(+,#!$"%&'"()** -./%&0*1233*453*132*