YAMZ: a cross-domain crowd-sourced metadata vocabulary
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This document discusses YAMZ, a cross-domain crowd-sourced metadata vocabulary. YAMZ aims to provide a single dictionary and namespace for metadata terms from any research domain. It allows users to search for terms, add new terms, comment on and edit existing terms. Terms in YAMZ are assigned globally unique persistent identifiers. The vocabulary is intended to evolve over time based on crowd-sourcing and reputation-based voting, applying lessons from projects like Wikipedia. Feedback on YAMZ is welcome.
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YAMZ: a cross-domain crowd-sourced metadata vocabulary
- 1. YAMZ: a cross-domain crowd-sourced metadata vocabulary J o h n Ku n ze C a l i fo r n i a Di g i t a l L i b ra r y
- 2. 2 Problem: traditional standardization • Change by committee is ugly, costly, and slow • Example: Dublin Core, 15 cross-domain terms 2 European Parliament Technology - DG ITEC @ flickr
- 3. The Metadata Universe Jenn Riley, IU
- 4. The Metadata Universe Jenn Riley, IU
- 5. The Metadata Universe Jenn Riley, IU
- 6. The Metadata Universe Jenn Riley, IU
- 7. The Metadata Universe Jenn Riley, IU
- 8. 8 An alternate metadata universe • One dictionary, one namespace • Any research domain, any part of “metadata speech” • Names, values, units, relationships, ... • Search for terms, comment on terms, add terms, edit your terms, API for automated access • All terms have globally unique persistent identifiers 8 THANK YOU!
- 9. 9 Dictionary sociology • Crowd-sourced evolving vernacular terms, stable canonical terms, and deprecated terms • Use evolving terms depending on your risk tolerance • Reputation-based voting means strong terms rise, weak terms decline 9 Applying lessons learned from Wikipedia, the Internet-Draft/RFC process, and StackOverflow
- 10. 10 One dictionary, one namespace 10 SimonRobertson@flickr
- 11. 11
- 15. 15 Feedback welcome Try it out at http://yamz.net Find the code at https://github.com/nassar/yamz
Editor's Notes
- Traditional metadata standards are controlled by panels of experts, eg, FGDC, EML, Darwin Core Change by committee is ugly, costly, and slow Example: perhaps most widely use cross domain vocabulary is Dublin Core, 15 cross-domain terms Agreed on in 5 years, lots of local divergence “I love the 15, but my domain needs these 2 terms. How do we add them?” A: Make your own ontology! Multiply by 200 domains and the result is 200 ontologies, 200 panels, 200 islands of non-interoperation
- Something between crowd-sourcing and an exclusive club Learn from wikipedia, internet RFCs, StackOverflow, and American Heritage Dictionary
- Here’s the metadictionary. Within 4 days of starting, using Python and off-the shelf tools, our intern put up this interface, [click] freely hosted on heroku with the evolving code on github and an evolving design document on the github wiki. Project name is Yamz (yet another metadata zoo). [click] Anyone can browse and read terms without logging in. But if you want to add new terms, comment, edit your terms, or vote on others’ terms, you have to login. Currently this requires you to use your google credentials.