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

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    After Noah: Making Sense of the Flood (of Information) - Presentation Transcript

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

    + Thomas Vander WalThomas Vander Wal, 2 years ago

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