defragging taxonomies and folksonomies Karen G. Schneider College Center for Library Automation Tallahassee, Florida
 
library use: and/and/and Circ, Holdings, FTE 0 200,000 400,000 600,000 800,000 1,000,000 1,200,000 1,400,000 1,600,000 Cir...
a brief history of library automation
 
 
 
 
 
 
 
 
 
“ disconnected data silos with non-usable content”
worldcat : 1 billion records
learning from taxonomies
classic problems in authority control spell-check stemming synonyms phrases anachronisms
disambiguation
Definition
 
expertise can be  efficient
topic depth  (faceting/subdivisions)
lessons from folksonomies
 
don’t scare off your workforce
in the short term, satisficing   trumps perfecting
In 2006, 400 catalogers at the Library of Congress cataloged 350,000 “volumes.” That’s 1,400 records per workday, or 3.5 r...
Tagging is about (re)discovery and (re)use, not (just) description
Tagging is about building data, not records
folksonomies grow good metadata
90% of Flickr content falls into 6 different types of facets:  place (40% of tags),  events , dates, people, things/animal...
some basic rules about cataloging appear  instinctive
Useless critiques of folksonomies
problems common to taxonomies and folksonomies tags * time = crud scalability (onesies vs. noise)
uber-folksonomies
wikipedia
Librarything for Libraries librarything ltfl
Librarians’ Internet Index lii.org
librarians’ delicious collections Canadian Assumption College California Law
incentivizing uberization: handprints and mirrors
AIM/email:  [email_address] twitter: kgs facebook: K.G. Schneider doppler: freerangelibrarian blog: freerangelibrarian.com...
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Tassonomia E Folksonomia

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dispensina sulle distorsioni prospettiche e semantiche della folksonomy

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  • Tassonomia E Folksonomia

    1. 1. defragging taxonomies and folksonomies Karen G. Schneider College Center for Library Automation Tallahassee, Florida
    2. 3. library use: and/and/and Circ, Holdings, FTE 0 200,000 400,000 600,000 800,000 1,000,000 1,200,000 1,400,000 1,600,000 Circulation 1,243,447 1,330,906 1,380,000 1,080,000 1,098,983 1,293,864 1,451,417 1,400,000 1,388,342 1,301,582 Holdings 968,268 998,446 1,029,515 1,086,402 1,116,642 1,146,127 1,210,127 FTEs 238,348 236,256 234,962 235,527 244,558 267,486 285,128 297,795 294,818 287,714 FY9697 FY9798 FY9899 FY9900 FY0001 FY0102 FY0203 FY0304 FY0405 FY0506
    3. 4. a brief history of library automation
    4. 14. “ disconnected data silos with non-usable content”
    5. 15. worldcat : 1 billion records
    6. 16. learning from taxonomies
    7. 17. classic problems in authority control spell-check stemming synonyms phrases anachronisms
    8. 18. disambiguation
    9. 19. Definition
    10. 21. expertise can be efficient
    11. 22. topic depth (faceting/subdivisions)
    12. 23. lessons from folksonomies
    13. 25. don’t scare off your workforce
    14. 26. in the short term, satisficing trumps perfecting
    15. 27. In 2006, 400 catalogers at the Library of Congress cataloged 350,000 “volumes.” That’s 1,400 records per workday, or 3.5 records per person, per day.
    16. 28. Tagging is about (re)discovery and (re)use, not (just) description
    17. 29. Tagging is about building data, not records
    18. 30. folksonomies grow good metadata
    19. 31. 90% of Flickr content falls into 6 different types of facets: place (40% of tags), events , dates, people, things/animals, color
    20. 32. some basic rules about cataloging appear instinctive
    21. 33. Useless critiques of folksonomies
    22. 34. problems common to taxonomies and folksonomies tags * time = crud scalability (onesies vs. noise)
    23. 35. uber-folksonomies
    24. 36. wikipedia
    25. 37. Librarything for Libraries librarything ltfl
    26. 38. Librarians’ Internet Index lii.org
    27. 39. librarians’ delicious collections Canadian Assumption College California Law
    28. 40. incentivizing uberization: handprints and mirrors
    29. 41. AIM/email: [email_address] twitter: kgs facebook: K.G. Schneider doppler: freerangelibrarian blog: freerangelibrarian.com WorldCat Identity: http://orlabs.oclc.org/Identities/lccn-n95-110807

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