patterns in web history

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Steffen Staab [email protected] 1 WeST Web Science & Technologies University of Koblenz ▪ Landau, Germany Patterns in Web History

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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 - PowerPoint PPT Presentation

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Page 1: Patterns in Web  History

Steffen [email protected]

1WeST

Web Science & Technologies

University of Koblenz ▪ Landau, Germany

Patterns in Web History

Page 2: Patterns in Web  History

Steffen [email protected]

2WeST

FROM WEB 1.0 TO WEB 3.0

Page 3: Patterns in Web  History

Steffen [email protected]

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

Page 4: Patterns in Web  History

Steffen [email protected]

4WeST

From Web 1.0 to Web 2.0

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Steffen [email protected]

5WeST

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

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Steffen [email protected]

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From Web 1.0 to Web 2.0

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Steffen [email protected]

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WEB 3.0

Page 8: Patterns in Web  History

Steffen [email protected]

8WeST

Google Rich Snippets

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9WeST

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10WeST

Return on Investment

BestBuy early adopter Launched Semantic 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

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Steffen [email protected]

11WeST

BEYOND WEB 3.0:SOCIAL MACHINES

Massive Collaboration through

Slides adapted from Jim Hendlerde.slideshare.net/jahendler/social-machines-oxford-hendler

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12WeST

“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?

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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?

Page 14: Patterns in Web  History

Steffen [email protected]

14WeST

Idea 1, do this by accident

Being explored, but how do we make this purposeful?

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Steffen [email protected]

15WeST

Harnessing this power “unknowlingly”

You have likely helped to make Optical Character Recognition better!

Von Ahn et al, 08

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Steffen [email protected]

16WeST

Harnessing the power for “fun”

Von Ahn, 06

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Steffen [email protected]

17WeST

Harnessing human knowledge for problem solving

Raddick et al, 07

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Web Science: the Theory and Practice of Social Machines

“Computers help if we can use them to create abstract

social machines on the Web… the stage is set for an

evolutionary growth of new social engines. The ability to

create new forms of social process would be given to the

world at large”

Berners-Lee Weaving the Web 1999

Via Wendy Hall, http://wiki2011.webscience.deri.ie/websci2011/

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Guttenplag

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Exploring motivation:Online meets offline in an “ad hoc” organization

Better translation: People-Powered Search

Via Jim Hendler

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Steffen [email protected]

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Kitten Killer of Hangzhou

“The Human Flesh Search Engine: Democracy, Censorship, and Political Participation in Twenty-First Century China”

Vincent Capone, University of Massachusetts Boston

Graduate student in History

Based on an undergraduate thesis from the University of Massachusetts, Amherst.

http://scholarworks.umb.edu/cgi/viewcontent.cgi?article=1016&context=ghc

Raising questions of legal norms, ethics, psychology,...

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23WeST

What HFS is used for

From http://de.slideshare.net/jahendler/social-machines-oxford-hendler

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24WeST

SOCIO-ECONOMIC DEVELOPMENT

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

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Web Index 2012

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Web Index 2012 – Part 2

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

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MODEL FOR TECHNO-SOCIOLOGICAL DEVELOPMENT IN THE WEB

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33WeST

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/2008/Talks/0708-ws-30min-tbl/http://www.w3.org/2007/Talks/0509-www-keynote-tbl

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Example: Email

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Example: WWW

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Example: WWW (2)

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Example: WWW (3)

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Motivation: Wiki

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Motivation: Blogs