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Graham Perrin

Chandler Wiki : How The Cookie Crumbles Part I - 0 views

chandlerproject.org/...HowTheCookieCrumblesPartI

588008 588016 588445 588034 anatomy browse cookie data edible faux guide hierarchy impish jumbled kooky loop-de-loop messy naughty ontology organisation project quality result structure tagsonomies tagsonomy tags tag tagging time Uhuru Voovay wig xylophon

shared by Graham Perrin on 22 Dec 08 - Cached
  • hierarchies has been the designated one size fits all solution to all our organizational needs
  • we break our semantically pure hierarchies by overstretching their bounds
  • we end up with messy hierarchies that are unusable and unmaintainable
  • ...4 more annotations...
  • Stuff I need access to DOES NOT HAPPEN TO EQUAL the stuff at the top of the tree
  • Case study: Katie's OmniOutliner
  • http://www.shirky.com/writings/ontology_overrated.html
  • The following are images taken from: http://www.shirky.com/writings/ontology_overrated.html
Graham Perrin

Chandler Wiki : The Nature Of Tags - 0 views

chandlerproject.org/...TheNatureOfTags

tags tag hierarchy

shared by Graham Perrin on 22 Dec 08 - Cached
  • Tags multiply like rabbits!
  • Tags make items look like they're multiplying like rabbits
  • the ability to assign more than 1 tag to an item
  • ...17 more annotations...
  • becomes a cognitive quagmire when it comes time to get a grip on the scope of your data
  • ramplant multiplication of items showing up in multiple tag-groups can make a mountain out of a mole hill of data
  • Tags don't actually help you understand your data better
  • hierarchies visualize degrees of separation
  • in Tagsonomies, all neighbors are created equal
  • If what you're looking for doesn't exist in the tag or the intersection of tags you're currently looking at, you're out of luck
  • Without a visualization tool, tags are just as dumb if not dumber than hierarchies
  • 2 kinds of relationships
  • tags are either Related or Not related
  • Tagsonomies are too flexible for their own good
  • Some of the MIT Haystack studies asked users to "tag" URLs they found on the web with keywords
  • many of the users began to feel like the whole process pointless
  • they find it pointless to apply the keywords after a while
  • Tags are too generic
  • The notion of "related tags" is too generic
  • Tags are unable to store important metadata about both our data and the relationships that govern and structure that data
  • Tagged data sets quickly explode beyond human ability to extract narrative and scope from the data
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