Folksonomies

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    Folksonomies - Presentation Transcript

    1. Folksonomies
    2. But First: Metadata What is it?
    3. Metadata It is data about data. It is information about information.
    4. Metadata:
      • Structured information about documents, books, articles, photographs, web pages, etc.
      • This data is designed for specific functions usually to facilitate some organization and access of information.
    5. Traditional Metadata
      • Dewey Decimal
      • Library of Congress
      • Traditional metadata is high quality but costly and it
      • doesn’t scale well.
    6. Author Created Metadata
      • For example I might create an xml document that contains
      • data about my CD collection:
      • <mycds>
      • <cd>
      • <artist>Bob Dylan</artist>
      • <title>Blonde on Blonde</title>
      • </cd>
      • <cd>
      • <artist>Funkadelic</artist>
      • <title>Maggot Brain</title>
      • </cd>
      • </mycds>
    7. Author Created Metadata
      • Dublin Core
      • XML
      • RDF
      • Has better scalability but suffers from the same problems
      • As traditional metadata: users are disconnected from the
      • process.
    8. User Created Metadata(Folksonomies)‏
      • Del.icio.us
    9. Folksonomies This term is attributed to Information Architect Thomas Vander Wal. It is the combination of two words. Folk: Of, occurring in, or originating among the common people: folk culture. Taxonomy: A division into ordered groups or categories.
    10. Weaknesses
      • Ambiguity:
      • There is no synonym control so multiple words may
      • be used to describe the same thing.
      • The same word may be used for multiple meanings.
      • For instance the ant maybe used to describe:
      • The insect.
      • Actor Network Theory in the domain of sociology.
      • A java programming language tool.
    11. Strengths
      • Browsing
      • Del.icio.us is an exploratory tool that supports browsing.
      • User centered
      • Directly reflects the vocabulary of its users.
      • Desire lines
      • Supports the creation of emergent “paths”.
      • Namespace
      • Has a flat name space/non-hierarchal categorization.
    12. Examples (from Clay Shirky)‏
    13. Dewey, 200: Religion 210 Natural theology 220 Bible 230 Christian theology 240 Christian moral & devotional theology 250 Christian orders & local church 260 Christian social theology 270 Christian church history 280 Christian sects & denominations 290 Other religions Dewey Decimal Religions of the World
    14. Library of Congress World History D: History (general)‏ DA: Great Britain DB: Austria DC: France DD: Germany DE: Mediterranean DF: Greece DG: Italy DH: Low Countries DJ: Netherlands DK: Former Soviet Union DL: Scandinavia DP: Iberian Peninsula DQ: Switzerland DR: Balkan Peninsula DS: Asia DT: Africa DU: Oceania DX: Gypsies
    15.  
    16. What is being optimized?
    17. When do traditional cataloging systems work well?
      • Domain to be Organized
      • Small corpus
      • Formal categories
      • Stable entities
      • Restricted entities
      • Clear edges
      • Participants
      • Expert catalogers
      • Authoritative judgment
      • Coordinated users
      • Expert users
    18. When do traditional cataloging systems not work well?
      • Domain to be Organized
      • Large corpus
      • No formal categories
      • Unstable entities
      • Unrestricted entities
      • No clear edges
      • Participants
      • Uncoordinated users
      • Amateur users
      • Naïve catalogers
      • No Authority

    + Daniele Daniele , 5 months ago

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