MW2010: Joe Dalton, Can Structured Metadata Play Nice with Tagging Systems? Parsing New Meanings From Classification-Based Descriptions on Flickr Commons
A presentation from Museums and the Web 2010. By the time The New York Public Library (NYPL) joined The Commons on Flickr, almost a year after The Library of Congress (LOC) had launched the initial pilot project, it was clear there is great potential for user-generated content to shed new light on archival imagery. in ways that are difficult to achieve with more traditional methods. Many of the earliest Commons images contained little or no prior description, and users were encouraged to tag these records with much-needed metadata. Images uploaded more recently by Commons partners often have included associated metadata, and this fact has been dealt with differently by various institutions. Some choose to not upload that data; others upload subject-headings, but only as descriptive text; still others add selected subject headings as single tags across a set of items. When the library uploaded its first set of 1,300 images in late 2008, it was thus faced with a number of questions about what type of metadata should also be uploaded. Should we hide or cloak the structured metadata (subject headings, name authority files, etc.) associated with these images? Or could we try to contribute our pre-existing subjects as tags? Although Flickr machine-tags have emerged as one option for exposing controlled vocabularies on Flickr, what if our structured metadata could look – and behave – more like user-generated tags from the beginning? This paper discusses the rationale behind NYPL's decision to combine existing metadata – in the form of subject headings – with user-generated tags, and demonstrates some of the challenges, benefits and drawbacks for institutions that may be interested in using similar approaches for their own collections. Session: Collections: Tag / Search / Deploy - Part 1 [access] see http://www.archimuse.com/mw2010/abstracts/prg_335002306.html
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MW2010: Joe Dalton, Can Structured Metadata Play Nice with Tagging Systems? Parsing New Meanings From Classification-Based Descriptions on Flickr Commons
- 1. Can Structured Metadata Play Nice with Tagging Systems? Parsing New Meanings From Classification- Based Descriptions on Flickr Commons Museums & the Web 2010 4.15.2010 Joseph B. Dalton
- 3. Metadata In A New Context?
- 6. Our Content
- 8. Let’s Talk Ontology (Really?) www.flickr.com/photos/the_widget/169644838/
- 9. Conforming Data to the Model “... defining models and persuading providers of information to understand them, and to make the information they provide conform to them.” - Michel Biezunski. Reflections from Advancing Topic Maps: Maintenance of Concept Integrity as Names Change, 2007
- 10. Conforming Model to the Data “The consideration of any piece of information either as data or metadata is a question of perspective ... and many data can be both ...
- 11. Which Makes More Sense? ... the idea is to take whatever information is available, and, with or without the provider’s cooperation, to try to make one or more kinds of sense out of it.” - Michel Biezunski
- 12. © the rut. 2008 http://bigeyedeer.wordpress.com
- 13. Our Inherited Data Model www.flickr.com/photos/www_317537_com/367506056
- 14. Our Inherited Data Model: Pre-RDMS
- 15. Card Catalog: Nested Subject Headings Archaeological sites -- Syria -- Damascus ...
- 16. Card-catalog (1-dimens) vs. RDMS data Debates and debating, Intercollegiate -or- Debates and Debating Intercollegiate -or- Debates Debating Intercollegiate
- 17. Laser Precision vs. Flexible Data Americans -- Employment -- New York (State) -- New York -- 1900-1909
- 18. Facets As Data Delimiters Americans -- Employment -- New York (State) -- New York -- 1900-1909 Tag Data: 1900s Americans Employment New York New York State
- 19. CAN Subject Headings Be Tags ? A Few Hurdles • Integrate structured metadata with tagging systems • Will meanings be lost in shifting models? • Will users contribute tags to pre-tagged items?
- 20. Looking For Term Patterns • Parse terms in subject by punctuation – term 1 – term 2 (term 3) – term 4 • Becomes: – term 1 – term 2 – term 3 – term 4
- 21. Looking For Commas • Commas can be tricky – Zinzendorf, Nicolaus Ludwig, Graf von, 1700-1760 – Alexandra, Queen, consort of Edward VII, King of Great Britain, 1844-1925 • Most names are more like: – Washington, George
- 22. Looking For Phrases • Archaic and dated phrases may need an agreed upon conversion: – “Homes and haunts” – “City and Town Life,” – etc.
- 23. Subject Headings As Tags
- 24. Will Users Add Their Tags Too? • Environment Needs to Encourage Tagging • Flickr Commons Users Highly Motivated to Participate
- 27. Can Users Add Value?
- 28. Can Users Add Value?
- 31. Tags Only Used By NYPL
- 32. Tags From Users & NYPL
- 33. Tags Only From Users
- 34. Lesson 1. Web Is Not A Catalog (Yet) • Set your terms free (but if they’re still weird, that’s OK) • If terms don’t fit, don’t upload them
- 35. Lesson 2. Learn From Users • Flickr’s 200+ million users and 6+ billion photos: Use them!
- 36. People, Content & Context Flickr User Model v0.3 www.flickr.com/photos/bryce/58299511/
- 37. Thanks! Questions, Feedback: jdalton@nypl.org New York Public Library Strategic Planning 188 Madison Ave., 4th Fl. New York, NY 10016
Notes de l'éditeur
- Co-Creator of ISO Topic Maps Standard and Data Projection Model
- Co-Creator of ISO Topic Maps Standard and Data Projection Model
- Co-Creator of ISO Topic Maps Standard and Data Projection Model
- [subject facets were critical in defining relationships in a world with no relational databases]
- But when NYPL oined the Flickr Commons, we had a much smaller data-set to play with, and some powerful tools built into both the Flickr API and it’s manual editing platform: organizr. So we thought to give those scrips another shot
- But when NYPL oined the Flickr Commons, we had a much smaller data-set to play with, and some powerful tools built into both the Flickr API and it’s manual editing platform: organizr. So we thought to give those scrips another shot
- I found that it’s often the case that one of these terms makes a really good tag and the other is just silly. “Haunts” “Town Life”
- I had 2 main Flickr principles often guiding image uploads and tagging QC. For images it was “Interestingness” and for tags it was “Has anyone ever used this one?”