Slides presented at a keynote at the Bayer Innovation Fair in Singapore. The slides give a high-level introduction into the concepts and motivations of the Semantic Web, including lots of examples. A large part was shown live during the keynote and thus is not properly rendered in the slides. See <a></a> for more details.

1. The Semantic Web: Concepts and examples Carsten Ullrich 29 September 2010, Singapore

3. Goals: understand principles

5. Semantic Web

6. Web of Data

7. Web 3.0

8. For real?

9. Academic dream?

11. Are you on Facebook?

12. Ever clicked on the “like” button?

14. Today: Web of Documents

15. Anyone can say anything about any topic

16. Standards/protocols to publish and link documents

19. Sacks Oliver Oliver Sacks The Man Who Mistook His Wife for a Hat : And Other Clinical Tales by In his most extraordinary book, "one of the great clinical writers of the 20th century" ( The New York Times ) recounts the case histories of patients lost in the bizarre, apparently inescapable world of neurological disorders. Oliver Sacks's The Man Who Mistook His Wife for a Hat tells the stories of individuals afflicted with fantastic perceptual and intellectual aberrations: patients who have lost their memories and with them the greater part of their pasts; who are no longer able to recognize people and common objects; who are stricken with violent tics and grimaces or who shout involuntary obscenities; whose limbs have become alien; who have been dismissed as retarded yet are gifted with uncanny artistic or mathematical talents. If inconceivably strange, these brilliant tales remain, in Dr. Sacks's splendid and sympathetic telling, deeply human. They are studies of life struggling against incredible adversity, and they enable us to enter the world of the neurologically impaired, to imagine with our hearts what it must be to live and feel as they do. A great healer, Sacks never loses sight of medicine's ultimate responsibility: "the suffering, afflicted, fighting human subject." Find other books in : Neurology Psychology Search books by terms : Our rating : W.

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22. Data(base) is there, but hard to access! http://www.flickr.com/photos/squeakywheel/

23. Difficult to extract process plot combine information http://www.flickr.com/photos/fotoosvanrobin/

24. Combining Sacks Oliver Oliver Sacks Oliver Sacks The Man Who Mistook His Wife for a Hat : And Other Clinical Tales by In his most extraordinary book, &quot;one of the great clinical writers of the 20th century&quot; ( The New York Times ) recounts the case histories of patients lost in the bizarre, apparently inescapable world of neurological disorders. Oliver Sacks's The Man Who Mistook His Wife for a Hat tells the stories of individuals afflicted with fantastic perceptual and intellectual aberrations: patients who have lost their memories and with them the greater part of their pasts; who are no longer able to recognize people and common objects; who are stricken with violent tics and grimaces or who shout involuntary obscenities; whose limbs have become alien; who have been dismissed as retarded yet are gifted with uncanny artistic or mathematical talents. If inconceivably strange, these brilliant tales remain, in Dr. Sacks's splendid and sympathetic telling, deeply human. They are studies of life struggling against incredible adversity, and they enable us to enter the world of the neurologically impaired, to imagine with our hearts what it must be to live and feel as they do. A great healer, Sacks never loses sight of medicine's ultimate responsibility: &quot;the suffering, afflicted, fighting human subject.&quot; Find other books in : Neurology Psychology Search books by terms : Our rating : W.

25. Web 2.0 solves some issues

26. Open APIs  Mashups

28. Web of Data WWW designedBy designedBy knows R. Cailliau T.B. Lee hasInhabitant Lexington

37. doc.html has for author Fabien and has for theme Music

38. doc.html has for author Fabien doc.html has for theme Music

39. ( doc.html , author , Fabien ) ( doc.html , theme , Music ) ( subject , predicate , object )

40. Fabien author doc.html theme Music

42. http://inria.fr/~fabien#me http://inria.fr/schema#author http://inria.fr/rr/doc.html http://inria.fr/schema#theme http://dbpedia.org/resource/Music

43. URIs are important because machines are stupid http://www.flickr.com/photos/andryone/

44. Apple and Orange Apple and Google

46. http:// dbpedia.org /resource/Apple and http:// dbpedia.org/ resource/Orange_(fruit ) http:// dbpedia.org/resource/Apple_Inc . and http://dbpedia.org/resource/Google

47. RDF: Triples & URIs

50. <meta property=&quot;og:url&quot; content=&quot;http://www.imdb.com/name/nm0000036/&quot; /> http://www.facebook.com/carsten.ullrich http://www.imdb.com/name/nm0000036 likes http://.../xx likes

52. So what?

53. Documents vs. Data

54. http:// www.google.com/search?sourceid = chrome&ie =UTF-8&q=aspirin

55. wiki http:// en.wikipedia.org/wiki/Aspirin

56. http:// www.wolframalpha.com/input/?i =aspirin

58. http:// www.google.com/search?sourceid = chrome&ie =UTF-8&q= paracetamol+aspirin+ibuprofen

59. http:// en.wikipedia.org/wiki/Special:Search?search = paracetamol+aspirin+ibuprofen

60. http:// www.wolframalpha.com/input/?i = paracetamol+aspirin+ibuprofen

62. http://www.google.com/search?sourceid=chrome&ie=UTF-8&q=Beth+Israel+Medical+Center,+NYU+Medical+Center,+St+Luke's-Roosevelt+Hospital+Center

63. http://www.wolframalpha.com/input/?i=Roosevelt+Hospital+Center,+Beth+Israel+Medical+Center,+NYU+Medical+Center

64. Combination from multitude of sources in a meaningful and easy way

66. http:// en.wikipedia.org/wiki/Cancer

67. http://www.freebase.com/labs/parallax/browse.html?state=!((d:(i:/en/cancer,n:Cancer),s:(v:!((c:SingleTopicView,s:())),vi:0)))

68. http://www.freebase.com/labs/parallax/browse.html?state=!((d:(i:/en/cancer,n:Cancer),s:(v:!((c:SingleTopicView,s:())),vi:0)),(d:(l:'Company%20involved',p:!((f:!t,p:/base/bioventurist/bv_medical_condition/company_involved))),s:(f:!((p:!((f:!t,p:/base/bioventurist/science_or_technology_company/develops_treatments_for_disease)),s:!(/en/prostate_cancer))),v:!((c:ThumbnailView,s:())),vi:0)),(d:(l:Products,p:!((f:!t,p:/base/bioventurist/science_or_technology_company/products))),s:(f:!((p:!((f:!t,p:/base/bioventurist/product/technology_involved)),s:!(/en/monoclonal_antibodies))),v:!((c:ThumbnailView,s:())),vi:0)))

69. What could this mean for you?

71. Different datasets relevant

72. field force marketing budget coverage (nbr of doctors) visits (frequency) patients

73. Semantic Web Technology enables integration of these datasets, and others

74. http://www.mysociety.org/2007/more-travel-maps/

75. field force marketing coverage visits patients sales

76. field force marketing coverage visits patients sales

77. field force marketing coverage visits patients sales

78. Is it here to stay?

79. Microsoft + Powerset Google + Freebase Facebook + OpenGraph New York Times Guardian Open Government ...

80. Linked Open Data

81. 2007

86. Real Time Web

87. Updates from Facebook, Twitter, Google Buzz, search queries, etc.

88. http:// buzzzy.com /

89. http:// buzzzy.com /advanced

90. http:// buzzzy.com/search?q =iPad+%2Buser_profile_org_text:(Microsoft)

91. http:// buzzzy.com/search?q =iPad+%2Buser_profile_org_text:(Bayer)

92. Useful?

93. Google predicts flu trends

94. http:// www.google.org/flutrends /

95. Access to data about what people are talking about right now

96. Summary

97. Web of Documents & Web of Data

98. Standard way to make data accessible

99. Eases combination

100. Real Time Web: Trend prediction

102. What are your ideas?

103. Carsten Ullrich Shanghai Jiao Tong University Department of Computer Science +86 13917966707 [email_address] http://twitter.com/ullrich InnovationFair 2010 Singapore E-Mail: [email_address] Intranet: http://innovationfair.bbs.cnb