After Noah: Making Sense of the
     Flood (of Information)
             Thomas Vander Wal
         Presented to: Enterpri...
2 Common Statements
Nobody is using
 our services
OR
Good
       Great
  Utterly fantastic
OMG we have way too
 much information
Encouraging Use
Add or improve guidance for use
Keep in mind:
perceived light use
can have high value
Number of Tags Per Item
                          Distribution of “x Tagged”
                                        A6473...
Focus on values derived
Who is using the service?
What value is gained?
Personal
Collective
Collaborative
Newbie
Service Owner
Quick instructional videos
http://www.commoncraft.com/bookmarking-plain-english
Easy tagging -
similar to Amazon
Tag Yes/No




InfoCloud Solutions, Inc. - 2008
Provide many use cases
Continually highlight
various success stories
Move to pervasive tag
  tool integration
Integrate with search
Social search
Collective search
Selective social search:

• Groups
• Co-worker
• Selected interests
Personal contextual
      search
Too much info
Causes
Single tags
Tools too simple
Lacking structure


• Tags are taken as singles terms
• Not using co-occurrence
Lacking context

• No grouping of taggers
• ID does not tie to a persona or profile
• Lacking relationship of tagger
Facets needed
Across many
applications and services
External incentive
encouraged tagging
Taggers are adding tags
  terms to self-stem

(e.g. tag, tags, tagging)
Many misspellings
Tools need improved
guidance & in-line help
Solutions
Single tags

• Interface encourages diversity of tagging
• Use more than one tag
• Detect homogeneity
Use a taxonomist who
understands folksonomies
Terms Around an Object

Taxonomy                                       Folksonomy
                                        ...
Part #A6473 Terms
                          Distribution of Terms
 Validate                            A6473
taxonomy    9...
Tool is simple

• Simplicity is good, but they need to be
  smarter
• Surface multiple context
• Surface co-occurrence of ...
Embrace structure

• Use co-occurrence of terms
• Use identity and personal relationships
• Tie to a taxonomy
 • Existing
...
- Andy Edmonds @ http://surfmind.com/muzings/?p=107
Show context

• Human
• Object
• Related terms
Facets
Identify facets
• Interface
 • Takes time - neg
 • More complex interface may deter taggers
• Automated
 • People
 • Produ...
Tools Get Out of the Way
Aggregate tags across tools


 • Tag in and across applications
  • Blogs, wikis, Sharepoint, etc.
 • Retrieve across appl...
Remove false incentives
 and focus real value -
  such as refindability
Auto-stemming
• Identify synonyms
• Plurals
• Spelling variations (incl. mis-spelling)
• International terms
Improve application
     guidance
Pulling it all together
Human needs and
   support
Support various uses
Improve the tools used
Thank You!


InfoCloud Solutions, Inc. - 2008
URL: http://infocloudsolutions.com
E-mail: thomas@infocloudsolutions.com
E-mail: thomas@vanderwal.net
AIM: vanderwal
Skype...
After Noah: Making Sense of the Flood (of Information)
After Noah: Making Sense of the Flood (of Information)
After Noah: Making Sense of the Flood (of Information)
After Noah: Making Sense of the Flood (of Information)
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After Noah: Making Sense of the Flood (of Information)

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Presentation at Enterprise 2.0 2008 in Boston. This is aimed at people who have social bookmarking tools running in their organization and ways to solve for under performance and messy usage.

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After Noah: Making Sense of the Flood (of Information)

  1. 1. After Noah: Making Sense of the Flood (of Information) Thomas Vander Wal Presented to: Enterprise 2.0 Boston, MA, USA :: 10 June 2008
  2. 2. 2 Common Statements
  3. 3. Nobody is using our services
  4. 4. OR
  5. 5. Good Great Utterly fantastic OMG we have way too much information
  6. 6. Encouraging Use
  7. 7. Add or improve guidance for use
  8. 8. Keep in mind: perceived light use can have high value
  9. 9. Number of Tags Per Item Distribution of “x Tagged” A6473 90.0 # People Tagging 67.5 45.0 22.5 0 Median InfoCloud Solutions, Inc. 2008
  10. 10. Focus on values derived
  11. 11. Who is using the service?
  12. 12. What value is gained?
  13. 13. Personal
  14. 14. Collective
  15. 15. Collaborative
  16. 16. Newbie
  17. 17. Service Owner
  18. 18. Quick instructional videos
  19. 19. http://www.commoncraft.com/bookmarking-plain-english
  20. 20. Easy tagging - similar to Amazon
  21. 21. Tag Yes/No InfoCloud Solutions, Inc. - 2008
  22. 22. Provide many use cases
  23. 23. Continually highlight various success stories
  24. 24. Move to pervasive tag tool integration
  25. 25. Integrate with search
  26. 26. Social search
  27. 27. Collective search
  28. 28. Selective social search: • Groups • Co-worker • Selected interests
  29. 29. Personal contextual search
  30. 30. Too much info
  31. 31. Causes
  32. 32. Single tags
  33. 33. Tools too simple
  34. 34. Lacking structure • Tags are taken as singles terms • Not using co-occurrence
  35. 35. Lacking context • No grouping of taggers • ID does not tie to a persona or profile • Lacking relationship of tagger
  36. 36. Facets needed
  37. 37. Across many applications and services
  38. 38. External incentive encouraged tagging
  39. 39. Taggers are adding tags terms to self-stem (e.g. tag, tags, tagging)
  40. 40. Many misspellings
  41. 41. Tools need improved guidance & in-line help
  42. 42. Solutions
  43. 43. Single tags • Interface encourages diversity of tagging • Use more than one tag • Detect homogeneity
  44. 44. Use a taxonomist who understands folksonomies
  45. 45. Terms Around an Object Taxonomy Folksonomy - Ball (89) - Ball - Circle (63) - Sphere - Blue (23) - Blue - Orb (11) - Sphere (6) - #A6437 - Gradient (3) - ToBuy (3) - Darkblue (2) - Round (2) - … 26 more InfoCloud Solutions, Inc. 2008
  46. 46. Part #A6473 Terms Distribution of Terms Validate A6473 taxonomy 90.0 or add to taxonomy Value in Interest Synonyms & 67.5 & watch Unique views 45.0 22.5 0 InfoCloud Solutions, Inc. 2008
  47. 47. Tool is simple • Simplicity is good, but they need to be smarter • Surface multiple context • Surface co-occurrence of tags • Lacking individual tagging
  48. 48. Embrace structure • Use co-occurrence of terms • Use identity and personal relationships • Tie to a taxonomy • Existing • Generic
  49. 49. - Andy Edmonds @ http://surfmind.com/muzings/?p=107
  50. 50. Show context • Human • Object • Related terms
  51. 51. Facets
  52. 52. Identify facets • Interface • Takes time - neg • More complex interface may deter taggers • Automated • People • Products & type • Geo-location • Temporal
  53. 53. Tools Get Out of the Way
  54. 54. Aggregate tags across tools • Tag in and across applications • Blogs, wikis, Sharepoint, etc. • Retrieve across applications and services to provide breadth and more value
  55. 55. Remove false incentives and focus real value - such as refindability
  56. 56. Auto-stemming • Identify synonyms • Plurals • Spelling variations (incl. mis-spelling) • International terms
  57. 57. Improve application guidance
  58. 58. Pulling it all together
  59. 59. Human needs and support
  60. 60. Support various uses
  61. 61. Improve the tools used
  62. 62. Thank You! InfoCloud Solutions, Inc. - 2008
  63. 63. URL: http://infocloudsolutions.com E-mail: thomas@infocloudsolutions.com E-mail: thomas@vanderwal.net AIM: vanderwal Skype: tjvanderwal InfoCloud Solutions, Inc. - 2008

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