•  Why do we care about Metadata?

•  Where do folksonomies and controlled
   vocabularies come into the equation?

•  Who...
Australia’s leading
 information resource
 Helping you find, buy and sell


•  12.5 million consumers each month
•  600,00...
•  Commercial Manager for Content & Search
   –  How can we improve the search experience
   –  How can we make the most o...
•  Controlled vocabularies have concepts /
   terms

•  Folksonomies have tags

•  Metadata is the association of either t...
“Metadata: cataloging
by those paid better
than librarians “
Rot Tennant, Points of Pain, Peculiar Possibilities, & a Patr...
For content centric
organisations

•  Search

•  Content
Folksonomies                     Controlled Vocab

   Wisdom of Crowds                   Wisdom of Authors

              ...
•  Yellow™
    –  2,865 headings, 150,000 terms

•  BBC
    –  Over 100,000 terms

•  The bigger the taxonomy, the
   hard...
•  Keeping the CVs up to date and
   relevant

•  Language differences even within the
   same country
•  Business intelligence
   –  Search analysis
   –  Inferred user folksonomies


•  Advertiser input

•  Market analysis
...
Web service based automated tagging solutions

•  Open Calais
   www.opencalais.com

•  Tagthe.net
   tagthe.net

•  Infor...
•  Spelling mistakes, incorrect use
   of terms (my perspective or
   yours)

•  Gaming and user manipulation

•  High vol...
Folksonomies       Controlled Vocabulary




•  User                     •  Publishers
   generated                •  Cent...
•  It’s about combining the wisdom of authors with
   the wisdom of crowds

•  Languages change, new terms evolve
   folks...
Content is   2
1                                aggregated                                                             3
 ...
Craig.Rees@Sensis.com.au
Taxonomies 2 0 2008 craig rees v1-1
Upcoming SlideShare
Loading in...5
×

Taxonomies 2 0 2008 craig rees v1-1

326

Published on

A presentation on the difference between social tagging and controlled vocabularies for information rich businesses

Published in: Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
326
On Slideshare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
4
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Taxonomies 2 0 2008 craig rees v1-1

  1. 1. •  Why do we care about Metadata? •  Where do folksonomies and controlled vocabularies come into the equation? •  Who uses what? •  What do I think the silver bullet is? •  Questions
  2. 2. Australia’s leading information resource Helping you find, buy and sell •  12.5 million consumers each month •  600,000 advertisers 3
  3. 3. •  Commercial Manager for Content & Search –  How can we improve the search experience –  How can we make the most of our content •  Involved in the industry since 2000 •  In the past –  Ran product management at BBC new media –  Advised UK media and ecommerce companies on content management and search strategies
  4. 4. •  Controlled vocabularies have concepts / terms •  Folksonomies have tags •  Metadata is the association of either terms or tags with a piece of content
  5. 5. “Metadata: cataloging by those paid better than librarians “ Rot Tennant, Points of Pain, Peculiar Possibilities, & a Patron Paradise 2003
  6. 6. For content centric organisations •  Search •  Content
  7. 7. Folksonomies Controlled Vocab Wisdom of Crowds Wisdom of Authors   Significant management   Low management overhead overhead   Needs a team of experts   Requires a user both subject matter and population who want to vs information architecture contribute   Can be costly in   Requires a significant comparison volume of data to filter   Requires significant out noise investment in   Relatively low initial infrastructure and investment management tools   Poor experience on day   Rich experience on day 1 1
  8. 8. •  Yellow™ –  2,865 headings, 150,000 terms •  BBC –  Over 100,000 terms •  The bigger the taxonomy, the harder it is to find the correct term •  Sophisticated management systems are required •  Need specialised skills
  9. 9. •  Keeping the CVs up to date and relevant •  Language differences even within the same country
  10. 10. •  Business intelligence –  Search analysis –  Inferred user folksonomies •  Advertiser input •  Market analysis –  Industry trends –  Trade associations –  Trade publications –  Local government –  Legal requirements
  11. 11. Web service based automated tagging solutions •  Open Calais www.opencalais.com •  Tagthe.net tagthe.net •  Inform www.inform.com •  Gracenotes www.gracenote.com
  12. 12. •  Spelling mistakes, incorrect use of terms (my perspective or yours) •  Gaming and user manipulation •  High volumes should mean that wheat is separated from the chaff •  But this takes time… •  And what do you do in the interim period
  13. 13. Folksonomies Controlled Vocabulary •  User •  Publishers generated •  Centralised •  Decentralised control controlled
  14. 14. •  It’s about combining the wisdom of authors with the wisdom of crowds •  Languages change, new terms evolve folksonomies and user led terminology is at the front of the curve •  Use both, sometimes in different circumstances –  Front end search improvement vs back end content aggregation •  Create a feedback loop to aid self improvement
  15. 15. Content is 2 1 aggregated 3 Authors associate based on the Content is metadata at the metadata searched via point of content associated associated entry metadata Search Review results Controlled vocabulary Users tag External Listing content as information appropriate with their own sources 5 terms tagging and search reports 4 are run to track usage Folksonomy New terms are reviewed and where appropriate gaps in the controlled vocabularies are filled 6
  16. 16. Craig.Rees@Sensis.com.au
  1. A particular slide catching your eye?

    Clipping is a handy way to collect important slides you want to go back to later.

×