1. Semantic Microblogging Benjamin Nowack bnode.org / semsol.com

2. Cementic? Symantec?

3. Semantics = Meaning

4. A web where computers can (better) understand what a page is about ... The Semantic Web

5. … and where they can then do more without our help. Not necessarily complex stuff.

7. Generate an album from (only) the photos in this Activity Stream!

8. List all #mbc09 Twitter and Identi.ca users who share a friend with me!

9. What are the most popular links about microblogging on Twitter?

10. Auto-block all followers with „SEO“ or “Social Media Expert” in their profile!

11. Evolution, not Revolution! (A semantic web could enable revolutionary new apps, though)

13. PageRank

14. rel=alternate

15. Tags

16. RSS

18. CSS

19. microformats

20. RDF / RDFa

21. ...

22. … moving from documents and links t o (arbitrary) things and their relations .

24. Publication (embedded, separate, API, formats, ...)

25. Discovery (centralized, decentralized, push, pull, ...)

26. Access / Privacy

27. Integration / Repurposing

28. Bringing microblogging into the SemWeb play (and the other way round).

29. Creating content for the semantic web is often cumbersome.

30. Writing microposts is easy and fun.

31. Microblogs mash short-term, social chatter with long-term-useful information.

32. Microblogging improves and accelerates product development, PR, and CRM (but lacks reporting/controlling) .

33. Microblog streams are the biggest productivity killer since IM and email notifications.

34. SemWeb technology enables self-describing content, querying, custom filtering, and automation.

35. The semantic web still doesn't have easy input UIs for everyday use.

36. Microblogging clients are becoming ubiquitous.

37. The semantic web uses small units to encode information. Subject > Predicate > Object Thing > Key > Value ID > Verb > Object … MBC09 > location > Hamburg

38. Microbloggers use short posts to encode information.

40. Conversations

41. Note taking

42. Announcements / CRM

43. Bookmarking & Tagging

44. Interest tracking

46. No granular privacy settings

47. No project-oriented interfaces

48. No DB-like filtering or querying

49. No integration of external data

50. A solution

51. Let's use microblogs to create structured content on the fly. Get rich filtering of “information streams” in return.

53. „ knows“ what posts are about

54. enables task-specific interaction methods

55. helps with repetitive processes

56. The structure-to-opacity ratio in µPosts is already very high @joe, the new #release is out: http://bit.ly/123 by alec on 2009-01-24 ------------------------------------------------------------------------------------------------------------------------- RT @sue: I can #offer a #ride from #Berlin to the #mbc09 in #Hamburg by alec on 2009-01-24 author, @recipient, @persons, #hashtags, date, content, URLs (even without hashtags!)

57. What if we could do: @joe, the new #release is out: http://bit.ly/123 (#version=RC2 #fix=bug27 #_2h #_billable) by alec on 2009-01-24 ------------------------------------------------------------------------------------------------------------------------- Attended great #talk by #seesmic's @kaotisch (#topic=xmpp #event=mbc09 ****) by alec on 2009-01-24 ------------------------------------------------------------------------------------------------------------------------- RT @sue: I can #offer a #ride to the #mbc09 #from=Berlin #to=Hamburg by alec on 2009-01-23 ------------------------------------------------------------------------------------------------------------------------- Arrived at #mbc09 (#location=Hamburg) by alec on 2009-01-23

58. … something magic happens...

60. filter posts by tag

61. filter by machine tag key and/or value

62. generate software release notes

63. generate project reports (or even invoices)

64. recommend links or experts for some topic

65. Provide a query API

66. The challenge

68. Re-use existing patterns (#tag, @person, to:group, ...)

69. UIs will need slight improvements (machine tag suggestions, filters, ...)

70. Prototypes, Demos, Experiments

72. maintained by DERI Galway

73. source available

75. SMOB

78. entity extraction via NLP APIs (OpenCalais, Zemanta)

79. entity expansion via dbpedia, freebase, crunchbase

80. faceted entity browsing (just a crappy proof of concept)

81. SPARQL API http://bnode.org/blog/2009/01/16/connecting-the-lod-dots-with-calais-4-0-and-zemanta

82. HD Streams

84. twitter / identi.ca integration

86. Re-tweets (leading RT), private posts (leading PP)

87. @recipient, @person

88. Ratings (e.g. ****)

90. SPARQL API source going to be made available at smesher.org and through a devx.com article

91. Smesher

92. Smesher (SPARQL API)