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Semantic Web in Context Segment at TLT Center “Web2.0 Day” Eric Hoffer Second Integral at Seton Hall July 16, 2008
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object]
So, about me marketing, strategy, people, processes, puzzles, tools, usability, products, productivity…  research, analytics, financial markets, work, the world, people… living and doing their jobs discovery – information – connecting - its about helping real people living and doing their work unlock “SME-tise” and enable the many
me (one more thing)… I’m interested in lots of different things... Visual Usability Running Value Networks Finance me
me (one more thing)… I’m interested in lots of different things...  particularly where they interact…
me (one more thing)… I’m interested in lots of different things...  particularly where they interact… and in their outer reaches…
me (one more thing)… I’m interested in lots of different things...  particularly where they interact… and in their outer reaches… in the interstices - where they overlap. Biology and Anthropology System Dynamics and Economics Usability and Value Networks As you might experience with:
Interstices Why am I telling you this? To me,  this  is what semantic technologies and the Semantic Web are about. Enabling the crossing of lines, bridging gaps, unlocking expertise, getting things done… for people.
Technical aspects… ,[object Object]
Web Progression ,[object Object],[object Object],[object Object],(apologies in advance for using a version-type naming scheme – which doesn’t really exist).
Web (original, Web1.0) - about ,[object Object],[object Object]
Web1.0 (links) (Image borrowed from Josh Bancroft’s tinyscreenfuls.com) ,[object Object]
Web Progression ,[object Object],[object Object],[object Object]
Web Progression ,[object Object],[object Object],[object Object]
Web Progression ,[object Object],[object Object],[object Object]
Web2.0 - about ,[object Object],[object Object],[object Object],[object Object]
Web2.0 – elements ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Web1.0    2.0 (how?) ,[object Object],[object Object],[object Object],Image source: http://www.flickr.com/photos/fleur-design
Web2.0 – examples ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Web2.0 (reviews, rating, tagging)
Web Progression ,[object Object],[object Object],[object Object]
Web Progression ,[object Object],[object Object],[object Object]
Great stuff, Web2.0.   So what’s missing? ,[object Object],[object Object],[object Object]
[object Object],or semantic web, Web3.0…
[object Object],[object Object]
Web3.0/Semantic Web – about ,[object Object],[object Object]
Web3.0/Semantic Web – about ,[object Object],[object Object],[object Object]
Web Progression ,[object Object],[object Object],[object Object]
Web Progression ,[object Object],[object Object],[object Object]
BUT HOW, and to what end? ,[object Object],[object Object],[object Object],[object Object]
Mashing
Sharing + Tagging + Mapping See  live example
Isn’t all that just Web2.0?  What’s the Semantic Web part? ,[object Object],[object Object],[object Object],[object Object],[object Object]
Web3.0  ,[object Object],[object Object],[object Object],[object Object]
 
Web2.0    3.0 – how? ,[object Object],Source: http://www.flickr.com/photos/suzanneandsimon Adding granularity to the people-bound portion of what is on the page – so the computer can use it to help us do those things.
Web2.0    3.0 – how? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What about the Semantic Web jargon?  ,[object Object],[object Object],[object Object],[object Object],[object Object]
Remember this slide? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Remember this slide? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],This is the granular form. But SW folks now get that regular people brought in via web2.0 won’t write this. So don’t worry about it.
For those who live in spreadsheets ,[object Object],[object Object],[object Object],[object Object],[object Object],See animation
Web2>3  Let’s go back to tagging (tag clouds) See  Del.icio.us ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Web2>3 (clustering) See  ZigTag  site
NLP and Entity Extraction  (using Calais) Try this live by going to http://sws.clearforest.com/calaisviewer/ In this example we discussed Calais using natural language processing to “read” text submissions, re-displaying with items marked and classified. We then considered how this can enable asking the web questions on a grand scale, and tabulation of results of NLP from millions of pages.
… applied to blogging  (e.g. Zemanta or Tagaroo) See  live example In this example we looked at how the Zemanta plug-in “reads” a blog post while you are writing it, and provides images and links for you to include in the post – based on its “sense” that these are related to what you are writing.
… embedding semantics  (e.g. using SIOC)
If you want to get into the weeds a bit ,[object Object],[object Object],[object Object],[object Object],[object Object],See Trueknowledge at  http://beta.trueknowledge.com/  and try finding an entity (person, place, event, thing…) and try out “Add Knowledge” to see the process of unambiguous entry.
Linking Data  (global scale – possibilities emerge) Source: DERI http://richard.cyganiak.de/2007/10/lod/
Progression from 50,000 feet
Technical overview
Web Science Source: WSRI -  http:// webscience.org /
Web Science Source: WSRI -  http:// webscience.org /
Web Science Source: WSRI -  http:// webscience.org /
Other links and examples http://webscience.org/  and  http://www.w3.org/2001/sw/ http:// sws.clearforest.com/calaisviewer /   http://wiki.dbpedia.org  and  http://deri.org/  and  http://sioc-project.org/ http://www.talis.com/platform/podcasts http:// danbri.org /   http:// mashmaker.intel.com /web/  - learning masher http:// beta.trueknowledge.com http://www.readwriteweb.com/  (e.g archives/trueknowledge_demo.php) http:// healthmap.org /en  and  http:// tagmaps.research.yahoo.com /
[object Object],[object Object],[object Object],[object Object],[object Object]

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Semantic Web, NON-technically speaking

  • 1. Semantic Web in Context Segment at TLT Center “Web2.0 Day” Eric Hoffer Second Integral at Seton Hall July 16, 2008
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  • 3. So, about me marketing, strategy, people, processes, puzzles, tools, usability, products, productivity… research, analytics, financial markets, work, the world, people… living and doing their jobs discovery – information – connecting - its about helping real people living and doing their work unlock “SME-tise” and enable the many
  • 4. me (one more thing)… I’m interested in lots of different things... Visual Usability Running Value Networks Finance me
  • 5. me (one more thing)… I’m interested in lots of different things... particularly where they interact…
  • 6. me (one more thing)… I’m interested in lots of different things... particularly where they interact… and in their outer reaches…
  • 7. me (one more thing)… I’m interested in lots of different things... particularly where they interact… and in their outer reaches… in the interstices - where they overlap. Biology and Anthropology System Dynamics and Economics Usability and Value Networks As you might experience with:
  • 8. Interstices Why am I telling you this? To me, this is what semantic technologies and the Semantic Web are about. Enabling the crossing of lines, bridging gaps, unlocking expertise, getting things done… for people.
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  • 32. Sharing + Tagging + Mapping See live example
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  • 43. Web2>3 (clustering) See ZigTag site
  • 44. NLP and Entity Extraction (using Calais) Try this live by going to http://sws.clearforest.com/calaisviewer/ In this example we discussed Calais using natural language processing to “read” text submissions, re-displaying with items marked and classified. We then considered how this can enable asking the web questions on a grand scale, and tabulation of results of NLP from millions of pages.
  • 45. … applied to blogging (e.g. Zemanta or Tagaroo) See live example In this example we looked at how the Zemanta plug-in “reads” a blog post while you are writing it, and provides images and links for you to include in the post – based on its “sense” that these are related to what you are writing.
  • 46. … embedding semantics (e.g. using SIOC)
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  • 48. Linking Data (global scale – possibilities emerge) Source: DERI http://richard.cyganiak.de/2007/10/lod/
  • 51. Web Science Source: WSRI - http:// webscience.org /
  • 52. Web Science Source: WSRI - http:// webscience.org /
  • 53. Web Science Source: WSRI - http:// webscience.org /
  • 54. Other links and examples http://webscience.org/ and http://www.w3.org/2001/sw/ http:// sws.clearforest.com/calaisviewer / http://wiki.dbpedia.org and http://deri.org/ and http://sioc-project.org/ http://www.talis.com/platform/podcasts http:// danbri.org / http:// mashmaker.intel.com /web/ - learning masher http:// beta.trueknowledge.com http://www.readwriteweb.com/ (e.g archives/trueknowledge_demo.php) http:// healthmap.org /en and http:// tagmaps.research.yahoo.com /
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