A short introduction to Semantic Web - 2012

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A short introduction to Semantic Web - 2012

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A short introduction to Semantic Web - 2012

  1. 1. A Basic Introduction toSemantic Web
  2. 2. Introduction
  3. 3. Hi!My name isMike Darnell.I was born in 1974My 1st job wasmodeling underwear& Roman toys
  4. 4. My partner is Virode Imtarnasan - Thai, 38 years old, married, studied law Career: EA, Sega, IRM… Web: Cnngo, Vertu, Playboy…Is your websitetargeting and engaging prospects?
  5. 5. Where we dobusiness
  6. 6. The Fun Bit
  7. 7. What do we need in order to have a conversation?
  8. 8. Our ability to processlanguage is dependent on two elements:
  9. 9. Syntax…
  10. 10. …& Semantics
  11. 11. But what is“Semantics”?
  12. 12. Semantics The study ofmeaning, focused on the relation betweensignifiers, such aswords, and what they stand for
  13. 13. What is a“Semantic Web”?
  14. 14. Today’s web enables computers tocommunicate using a common SYNTAX
  15. 15. The semantics needed forUNDERSTANDING are still handled by us HUMANS
  16. 16. But this isn’t the plan…
  17. 17. “I dream of a web wherecomputers are capable ofanalyzing ALL the data“Sir Tim Berners-Lee (1999)
  18. 18. On the Semantic Web data isinterpreted by machines, allowing themto perform the work involved in finding, combining, and acting upon information on the Internet
  19. 19. How?
  20. 20. By moving from this
  21. 21. To this
  22. 22. Semantic Web models arecurrently based either on Explicit Meta Data or Implicit Deductions regarding the content on the page
  23. 23. Explicit Meta Data
  24. 24. “Regular” HTML
  25. 25. HTML with Schema.org microdata semantic annotations
  26. 26. The Explicit Meta Data is the model supported by the W3C via it’sResource Description Framework (RDF) specifications: Subject > Predicate > Object Thailand’s capital is Bangkok
  27. 27. Implicit Deductions
  28. 28. Many sites allow triplet-like deductionswithout requiringformal meta data annotations
  29. 29. Why do we want it?
  30. 30. A machine-friendly web = more free human time
  31. 31. A semantic web will empower us to understand context without resorting to “search”
  32. 32. It will empower computers to accomplish tasks and answer questions that currently requirehuman involvement
  33. 33. Searching SEMANTICALLY rather than SYNTACTICALLY is particularly useful for: Content in ContextAnswering questionsBest product, Ideal booking, etc.
  34. 34. Content in Context
  35. 35. A Star Trek sequel is a seriousENTERPRISE
  36. 36. But Which One?
  37. 37. Google isn’tvery helpful
  38. 38. Neither isWikipedia
  39. 39. But a little structureddata goes a long way…
  40. 40. As does somecontext
  41. 41. Servicesto check out
  42. 42. Search Engines
  43. 43. Freebase is:“An entity graph of people, places and things, built by a community that loves open data.”
  44. 44. Hakia
  45. 45. Sigma
  46. 46. Lexxe
  47. 47. Qwiki
  48. 48. Aggregating andcurating content
  49. 49. “Topic Pages” are popping up on publications everywhere
  50. 50. WSJ
  51. 51. Mashable
  52. 52. NYT
  53. 53. Reader apps
  54. 54. Semantic veteran Evri is moving from being a search engine…
  55. 55. …to a content aggregator and interest curator
  56. 56. Flipboard acquiredEllerdale to power it’srelevance and interest
  57. 57. Answering questions
  58. 58. Wolfram Alpha
  59. 59. True Knowledge
  60. 60. Assistants
  61. 61. Siri
  62. 62. Evi
  63. 63. What’s next?
  64. 64. Statistical Analysis NLP
  65. 65. “…Over the next few months,Google will begin spitting outmore facts and direct answers to queries at the top of the search-results page…” WSJ.com
  66. 66. Google’s Knowledge Graph = 200,000,000 entities (= ~10*Freebase)
  67. 67. The “Internet of Things” Your fridge knows you’re about to run out of milk Your toilet know you’re lactose intolerant Etc…
  68. 68. The Next Big Thing may be enabled by new Technology
  69. 69. But its success is dependent on its ability to match ofour most basic needs
  70. 70. Questions?
  71. 71. Thanks! …I’m at mi@vimi.co Mike

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