W3C Web Annotation in the Semantic Annotation Tool

1. DATA IN THE SEMANTIC ANNOTATION TOOL John P Bell• john.p.bell@dartmouth.edu • @nmdjohn
2. SEMANTIC ANNOTATION TOOL Waldorf.js • jQuery plugin • Annotation interface • Merges annotations, vocabularies, and video in browser Statler • Ruby on Rails • Annotation aggregator • API-based interactions • W3C Web Annotation compliant
3. MACHINE VISION SEARCH
4. THREE MONKS
5. MACHINE VISION WORKFLOW Statler Waldorf.j s
6. THREE MONKS WORKFLOW Waldorf.j s
7. WALDORF.JS & STATLER Features • Time- and geometry-delimited annotations • Suggest tags loaded from external vocabulary files (onomy.org) • Identify annotation authors by email address • Identify videos by URI–we only host the annotations
8. STANDARDS DC: Descriptive metadata and media ID FOAF: Contributors SKOS: Shared vocabularies WA: Time-based open annotations RDF: Encoding (XML and JSON)
9. MINIMAL RECORD
10. ANNOTATION JSON
11. SELECTORS OPTIONAL
12. OVERLOADING TAGS
13. VOCABULARY
14. WHAT’S NEXT?
15. Links Waldorf.js http://dartgo.org/mep-waldorf Statler http://dartgo.org/mep-statler

Accessibility
Accessibility
Addresses question of “the computer only sees x but my question is about y”
Not quant vs. qual, quant as connective tissue that creates links between qualitative observations
What are we exposting publicly? Nothing that we need to be legally responsible for
Addresses question of “the computer only sees x but my question is about y”
Not quant vs. qual, quant as connective tissue that creates links between qualitative observations
What are we exposting publicly? Nothing that we need to be legally responsible for

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