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Semelhante a Semantic Web, NON-technically speaking
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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
- 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.
- 20. Web2.0 (reviews, rating, tagging)
- 31. Mashing
- 32. Sharing + Tagging + Mapping See live example
- 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)
- 48. Linking Data (global scale – possibilities emerge) Source: DERI http://richard.cyganiak.de/2007/10/lod/
- 49. Progression from 50,000 feet
- 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 /