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03 a-structured data

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Transcript of "03 a-structured data"

  1. 1. Structured DataNone / Some / AllPrepared by:Paul Kahn – Experience Design DirectorFebruary, 2013Media Lab, Aalto UniversityHelsinki, Finland
  2. 2. Paul Kahn | 2 1995-2012 = Gazillions of WebsitesOur design problem was an evolution of visual literacy— Readers were trained to find information in printed books/magazines/newspapers— Digital publications lack physical context— Location and scope of information was invisible
  3. 3. Paul Kahn | 3 Clients = Publishers Users = ReadersOur Design Task was to connect Readers to Content— Adapt graphic language – type, color, image – from the page to the screen— Create navigation systems that help users understand what they can find on a website— Communicate the structure of content in flexible repeatable units
  4. 4. 2012=Massive Pattern of Nodes
  5. 5. 2012=Nodes with Geo Context
  6. 6. Paul Kahn | 6 Today Users are— Convinced they can find what they want “on the Internet”— Producing & managing dematerialized content: photos, videos, music, email, compound documents— Creators & consumers with storage/creation and retrieval/consumption needs— Looking for something all the time
  7. 7. Paul Kahn | 7 Today Users want to— Record, share, publish— Be convinced, amused, in control— Find, sort, sift and copy— Mix, reorder and arrangeThey don’t explicitly know what metadata is (in most cases)They are solving problems by implicitly manipulating metadata
  8. 8. Paul Kahn | 8Today’s IA/UX ProblemEvery IA/UX problem is a Metadata ContinuumNo Structure Leaping into a Vacuum RawSome Structure Stepping into a Marsh EatableComplete Structure Traversing a Field Cooked
  9. 9. Paul Kahn | 9 Structured Data Value Proposition— People want to find things, they don’t want to “learn” how to find things— People understand how to use Structured Data— No one wants to create Structured Data— It is our task to leverage the Structured Data people already understand
  10. 10. Paul Kahn | 10Unstructured DataData Vacuum:no metadata has been added to itemsEven Data Vacuums include content & contextThe 50-year-old Information Retrieval /Library Science trade-off: • Precision: finding only what you are looking for • Recall: not missing anything that might contain what you are looking for
  11. 11. Paul Kahn | 11 Data with no structure: Names— A character-string a person, place or thing is known by— People have many names: professional names, familiar names, legal names— Places and things have many names in different languages— As data, a name presents a major problem: it is not unique— For example: “paul kahn”
  12. 12. Paul Kahn | 12 There are many “paul kahn”sPaul W. Dr. Paul Paul Kahn, Roshi Paul Paul KahnKahn, author Kahn, General Genki Kahn Informationand Law Urologist in Partner at Spiritual Architect,Professor at Plantation FL Himalaya Director of Docent atYale Capital Zen Garland Media Lab,University, Ventures, in Wyckoff, NJ HelsinkiNew Haven CT Silicon Valley, CA
  13. 13. Paul Kahn | 13What are most people searching for?
  14. 14. Paul Kahn | 14Who is searching?
  15. 15. Paul Kahn | 15Use algorithms to surface what users might want tosee (and what we want them to see)
  16. 16. Paul Kahn | 16Cut to the chase
  17. 17. Paul Kahn | 17Where did I put that document? The tools we use: — Personal Memory — Folder names — Desktop search What kinds of structure can we present?
  18. 18. Implicit metadata:— Document type— File name— Document content
  19. 19. Paul Kahn | 19 Semi-Structured Data Data Marsh: some metadata without predefined language or requirements— Tagging : users add uncontrolled keywords— Profile: users intentionally add metadata about themselves— Time / Location stamps: where and when— Tracking: users unintentionally add metadata about themselves as interactions are tracked
  20. 20. Paul Kahn | 20 Aggregation/Reproduction Sites— Sites that aggregate user-provided content Slideshare / YouTube / Dailymotion / Vimeo / SoundCloud / Flickr— Sites where users create and republish content to social networks LinkedIn / Facebook / Twitter
  21. 21. Paul Kahn | 21Implicit metadata:— Sort criteria— Document type
  22. 22. Paul Kahn | 22 Implicit metadata: — Related — More
  23. 23. Paul Kahn | 23Explicit Metadata
  24. 24. Paul Kahn | 24
  25. 25. Paul Kahn | 25 Structured Data Data Fields: where metadata has been explicitly added to items according to an agreed-upon standard— The Content is made to fit a pre-defined structure— The required parts of the structure are completed— Each metadata dimension qualifies and reinforces the meaning of the content— Many kinds of relationships can be harvested
  26. 26. Paul Kahn | 26Item with Facets
  27. 27. Paul Kahn | 28
  28. 28. Paul Kahn | 29Map of the Market
  29. 29. US Holocaust Memorial Museum Propaganda exhibit
  30. 30. Paul Kahn | 31NY Times Immigration Explorer
  31. 31. Paul Kahn | 32 Structured data ≠ Usable data— Does the user understand the required data?
  32. 32. Paul Kahn | 33Tell-all Telephone of Malte Spitz
  33. 33. Paul Kahn | 34Open Paths data from my iPhone
  34. 34. Paul Kahn | 35Tracking purchases
  35. 35. Paul Kahn | 36 Would the world be a better place if:— Everything had a unique ID?— Every digital object with a unique ID contained structured data?How does structured data affects quality of life questions?
  36. 36. Paul Kahn | 37 Contact Information Paul Kahn Experience Design Director pkahn@madpow.com Mad*Pow Portsmouth | Boston | Louisville www.madpow.com
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