The document discusses metadata tagging and semantics. It notes that while people don't tag much on platforms like Flickr, automatically generating tag semantics from word-based models, clustering, subsumption, and LSI could help. The document also discusses the needs of developers working with metadata, including formats that are simple, powerful, and aligned with user motivations. It introduces "machine tags" used on Flickr and notes challenges of making sense of emerging metadata formats and semantics.

1. Developers are People, Too Mor Naaman Yahoo! Research Berkeley *Any views or opinions expressed during this panel are those of the author only and do not represent those of Yahoo, Yahoo! Research, or Flickr -- sometimes they do not even represent the author himself.

2. People are Strange People are Strange. http://flickr.com/photos/genial23/334807527

3. Why do People Tag? Well, mostly, they don’t But if they do (say, on Flickr): “ Why We Tag”, CHI2007

4. Explanation, please Simple Source: Rashmi Sinha Powerful Tied with their natural motivations

5. Our Mission Automatically generate tag semantics Few places to start Word-based models E.g., Flickr Clustering E.g., Subsumption E.g., LSI Metadata can help, too

6. tagmaps.research.yahoo.com “ World Explorer”, JCDL2007

7. Extracting Event/Place Semantics “ Extracting Tag Semantics”, SIGIR2007

8. Developers are people, too! http://flickr.com/photos/fotex/217896072/

9. Developer Needs Requirements for developing applications that make use or manipulate metadata: Simple Powerful Tied with their natural motivations Just like people!

10. I too am a Web2.0 Developer My team will support a format: If it’s simple If it’s useful for us If it “plays nice” with key applications So far: RSS and GEO-RSS KML and GPX EXIF (read only) Flickr Machine Tags

11. Machine Tags?? “ Machine tags are not RDF but they could play RDF on TV.” - Aaron Cope, Hackr (Flickr) Book:author=“Tim B.L.” celltower:lac=205 Geo:latitude=23.12 ylocal:venue=224323 camel:humpcount=2 upcoming:event=12413 flower:color=red summit:altitude=2321

12. What’s the Point? Format is emerging Reflects needs of developers Reflects properties of data Simple Powerful

13. What’s the Problem? Namespace/semantics not defined Multiple formats for same semantics Multiple semantics for same subjects/predicates/objects… It’s up to us to make sense of it Us == researchers Schema mapping, pattern extraction and recognition, semantic analysis…

14. Discuss: The Semantic Web is Dead Welcome to the Emerging-Semantics Web!

15. Send me your wrath More fun and games: www.yahooresearchberkeley.com Mor Naaman http://infolab.stanford.edu/~mor