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Patterns in Web History

Patterns in Web History. From Web 1.0 to Web 3.0. http:// webscience.org /web- observatory / about /tracking-explosive- growth /. From Web 1.0 to Web 2.0. Social Web: Producer and Consumer. Web 1.0 : HTML pages served up then viewed using a browser Read Page Static Web Coders

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Patterns in Web History

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  1. Patterns in Web History

  2. From Web 1.0 to Web 3.0

  3. http://webscience.org/web-observatory/about/tracking-explosive-growth/http://webscience.org/web-observatory/about/tracking-explosive-growth/

  4. From Web 1.0 to Web 2.0

  5. Social Web: Producer and Consumer Web 1.0: HTML pages served up then viewed using a browser Read Page Static Web Coders Client/Server Web Browser Geeks Web 2.0: Web pages plus other content, shared (interactively) over the web. More like an application than a page Write & Contribute Post Dynamic Everyone Web Services Browser, RSS Reader, App Mass Amateurisation

  6. From Web 1.0 to Web 2.0

  7. Web 3.0

  8. Google Rich Snippets

  9. Return on Investment • BestBuyearlyadopter • LaunchedSemantic Product Web, augmented with GoodRelations and RDFa, • 30% increase in traffic to their pages. • (not a scientifically precise experiment!) • Nick Cox@Yahoo! • search results augmented with structured data get 15% higher click-through rate Cf http://www.chiefmartec.com/2009/12/best-buy-jump-starts-data-web-marketing.html

  10. Massive Collaborationthrough Beyond Web 3.0:Social Machines Slidesadaptedfrom Jim Hendler de.slideshare.net/jahendler/social-machines-oxford-hendler

  11. “Productive” Social Machines • It is estimated that 21% of the world’s population uses the World Wide Web • And this number is growing as cell phones and mobile Web technologies become increasingly usable as primary browser platforms • Modern Web sites can handle huge amounts of human time and effort • Cf. Facebook reports 4,000,000,000 minutes are spent on the site every day (> 7500 person/years per day!) • Note: IBM < 7500 person/years per year… Can we create technologies that make it possible to harness portions of that time and effort to help solve real-world problems?

  12. A vision Imagine • Hundreds of millions of people • Effectively able to network together • Working with the data archives of science, govts, NGOs, etc. Working together on the Web to cure disease, to feed the hungry,and to empower the powerless… Is this Science Fiction?

  13. Idea 1, do this by accident Being explored, but how do we make this purposeful?

  14. Harnessing this power “unknowlingly” You have likely helped to make Optical Character Recognition better! Von Ahn et al, 08

  15. Harnessing the power for “fun” Von Ahn, 06

  16. Harnessing human knowledge for problem solving Raddick et al, 07

  17. Web Science: theTheoryand Practice ofSocial Machines “Computers helpifwecanusethemtocreateabstract socialmachines on the Web… thestageissetforan evolutionarygrowthofnewsocialengines. The abilityto createnewformsofsocialprocesswouldbegiventothe worldat large” Berners-Lee Weavingthe Web 1999 Via Wendy Hall, http://wiki2011.webscience.deri.ie/websci2011/

  18. Guttenplag

  19. Exploring motivation:Online meets offline in an “ad hoc” organization Via Jim Hendler Better translation: People-Powered Search

  20. Kitten Killer of Hangzhou “The Human Flesh Search Engine: Democracy, Censorship, and Political Participationin Twenty-First Century China” Vincent Capone, University of Massachusetts Boston Graduate student in History Based on an undergraduatethesisfromthe University of Massachusetts, Amherst. http://scholarworks.umb.edu/cgi/viewcontent.cgi?article=1016&context=ghc Raisingquestionsof legal norms, ethics, psychology,...

  21. What HFS is used for From http://de.slideshare.net/jahendler/social-machines-oxford-hendler

  22. Socio-economicdevelopment

  23. http://thewebindex.org/data/index/

  24. Web Index 2012

  25. Web Index 2012 – Part 2

  26. http://www.internetworldstats.com/stats.htm

  27. Model forTechno-sociologicaldevelopment in the Web

  28. Web Science: Motivation • The Web is an engineered space created through formally specified languages and protocols. • Humans are the creators of Web pages and links between them. Their interactions form emergent patterns in the Web at a macroscopic scale. • Human interactions are governed by social conventions and laws. http://www.w3.org/2007/Talks/0509-www-keynote-tbl http://www.w3.org/2008/Talks/0708-ws-30min-tbl/

  29. Example: Email

  30. Example: WWW

  31. Example: WWW (2)

  32. Example: WWW (3)

  33. Motivation: Wiki

  34. Motivation: Blogs

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