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Journey from Web 2.0 to
Web 3.0Presented By:
Muhammad Rizwan
Muhammad Bakar HassanKamran ZafarMohsin Ibrahim
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The DotCom Boom(1997-2000)
DotCom Theory (Wikipedia)
an Internet company's survivaldepended on expanding its customerbase as rapidly as possible, even if itproduced large annual losses.
Mantra: Get large or get lost
Exit strategy:
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DotCom statistics
Average first day returns on Internet
IPOs reached 89%
TheGlobe.com made 606% gain on
first day
Cisco became the worlds largest
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DotCom Bust
NASDAQ peaked on March 10th 2000
then bust spectacularly!
Between March and September 2000, theBloomberg US Internet Index lost $1.755
TRILLION!!
Cisco: down $210 billion
Yahoo: down $102 billion
AOL: down $92 billion
Go.com: Lost $790 million
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Web 2.0 Dotcom Boomall over again?
Recent acquisitions
EBay bought Skype
Google bought YouTube
News International bought MySpaceYahoo! looking to buy FaceBook
Yahoo! also bought Del.icio.us and
Flickr
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Web 2.0 getting it rightthis time
Web 2.0 Economics
Long Tail economics
Social networks, tipping point andwisdom of crowd economics
Contextual advertising a proven
business model
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Where Web 1.0 wentwrong
Misunderstood the Webs dynamics
Relied on old software business
modelsSoftware sold as an application not a
service
E.g. DoubleClick
Sold to the Head, not to the Tail
E.g. Akamai, DoubleClick
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and kept going wrong!
Ignored their key asset
Its Data, not the software
Ignored the power of network effects
The more people use a networked
service, the more useful it becomes
Saw the Web as publishing, notparticipation
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What is Web 2.0?
Many definitions
Wikipedia:
Web 2.0 is a term often applied to aperceived ongoing transition of theWorld Wide Web from a collection ofwebsites to a full-fledged computingplatform serving web applications to endusers. Ultimately Web 2.0 services areexpected to replace desktop computingapplications for many purposes
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More Definitions
Tim oreilly (2005) :
"web 2.0 is the network as
platform, spanning all connecteddevices; web 2.0 applications arethose that make the most of the
intrinsic advantages of that platform:
Delivering software as a
continually-updated servicethat
ets better the more eo le use it
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The Dynamics underlyingthe Web
Long Tail
Social Data
Network Effects and the Wisdom ofCrowds
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The Long Tail the realDynamics of the Web
Traditionally, stores only stock thehits Limited shelf-space
On the Web, stores can stockanything
No shelf-space limitations
In an era without the constraintsof physical
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Long Tail Economics
Long Tail describes a Power Lawcurve
Paretos 80:20 ruleE.g. Chart number of sales against
products
Top 20 (the hits) make 80% of sales
Extend out further down the Long
Tail
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Long Tail Examples
Search Keywords
20-25% of Googles queries have never
been seen before
Google AdSense
Extend advertising to publishers waydown the long tail of web sites
Amazon
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The Three Forces of theTail
Democratize the Tools of Production
Let everyone create
More stuff, lengthens the tail
Democratize the Tools of Distribution
More access to niches, fattens the tail
Connect Supply and Demand
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The Three Forces of theTail (cont.)
Democratize Production
Producers: Camcorders, Digital
Cameras, Camera phones, Bloggingtools, Desktop music software, Videoediting tools, Wikis
Democratize Distribution
Aggregators: Amazon, eBay, iTunes,Netflix, MySpace, YouTube, Blog lines,Wikipedia
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Social Data
Successful Web 2.0 aggregators
have the best dataMore of it Easier ways to navigate
through it
Lock users in with the best database Why go elsewhere?
Data is a Web 2.0 companys biggest
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Solution
Harness the Social Side of the Web
Let your users create your data
Let your users create their own appsusing your data
Let user behavior act to filter the data
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The Social Side of Web2.0
Let your users create your data
Amazons reviewsDel.icio.uss bookmarks
Flickrs photos
Yahoo, Googles indexed web pagesTechnoratis blogs
FriendsReuniteds friends
Wikipedias information
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Social Side of Web 2.0(cont)
Let your users create their own appsusing your data
Provide programmatic access to data(Web Services, RSS, etc.)
Users generate many apps, showinghow useful your data is compared withyour competitors
Adds value to your data
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Network Effects
Wikipedia
a characteristic that causes a good or service to have a valueto a potential customer dependent on the number of customersalready owning that good or using that service.
Two types:
Inherent my value from my using the product
Network my value from your using the product
Examples
Telephone system
Faxes
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Inherent vs Network
Inherent Effects
Metcalfes Law
the value of a telecommunicationsnetwork is proportional to the square ofthe number of users of the system (n2).
Network Effects
Web 2.0 apps
The More people use a Web 2.0 app, the
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Web 2.0 EnablingTechnologies
Tools
Web Service APIs
SOAPJavaScript
AJAX (Asynchronous JavaScript and XML)
Greasemonkey, Konfabulator scripts,Google Gadgets
RSS
Plus Data = Mashups
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Mashups
A mashup is a website or webapplication that seamlesslycombines content from more thanone source into an integratedexperience.
Mashup data from the following:
Amazon Web Services
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WebOS
Web 2.0 tools also enable a richeruser experience
More interactivityMore powerful services
Web becomes a platform in its own
rightExamples
Google Spreadsheet, Calendar, Writely
Parake .com
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Web 2.0 CoreCompetencies
1. Services, not packaged software
2. Forever beta = agility
3. Hard-to-recreate data sources thatget richer as more people use them
4. Trusting users as co-developers
5. Harnessing collective intelligence
6. Leveraging the Long Tail
7. Software above the level of a single
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It has never been easier to createcontent for the web.
Every single Tweet is a new page that iscreated for the web. A pretty scaryconcept when you consider how oftensome people tweet. The outcome is that
Google and the current tools we use tonavigate and sort information on theweb will soon no longer be able to cope.
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The semantic web createsrelationships between separatepieces of data to provide contextand meaning.
For example the semantic web mayknow that a CD review of Kanye West
despite being given a five star rating bythe reviewer may be of no interest tome because I have previously posted onTwitter how I dislike Kanye.
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"Web 2.0 was centered on user-generated content, where anyonecould be a publisher.
We're now in the third wave
I call it a social wave," said Katz, a former MySpace executive.
Katz predicted that the future of the Internet "is one where everypage is going to be personalized.
If you plan a trip to Paris, you shouldn't see [search resultslisting] 900 hotels.
You should see six hotels based on where you stayed before; theplaces you checked in at on Face book and Foursquare, and theplaces where your friends have stayed.
It's not something that's just relevant to travel; it's somethingthat makes sense for almost every part of the Internet."
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Face book
Picture/ AlbumFace Recognition
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Web 3.0 is the futuregraspit..
Defining Web 3.0 (transcendentweb)
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Features of Web 3.0
Three main features:The capability of obtaining contextual information from a web
search
The ability to obtain information drawn from a variety ofpreviously incompatible or walled applications or sources
The engagement of all types of devices and machines in thedata creation, data use, and communication process thatinforms our daily lives, our work, and our businesses
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Features of Web 3.0
Context Is its Differentiator
Openness between data sources
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Features of Web 3.0
Social web
Semantic web
Internet of things
Artificial intelligence
I t f T d t
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Impact of TranscendentWeb
The personalized web
The business friendly web
The Hyper connected AgeThe Roles of Cloud Services, Social
Media, and IPv6 in the Web 3.0
C did t W b 3 0
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Candidate Web 3.0Technologies
Web3.0 would be used in various technologies of computerand Internet.
Artificial intelligence
Automated reasoning
Cognitive architecture
Composite applications
Distributed computing
Ontology (computer science)
Scalable vector graphics
Semantic Web
Semantic Wiki
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Making Transcendent Web aReality
Making Web 3.0 a reality requirescatering the following issues:
Technical Issues
Security Issue
Scale Issue
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Web Comparison Web 2.0 andWeb 3.0 3.0
WEB 2.0 The document web Abundance of
information Controversial The social web The second decade,
2000-9 Google as catalyst Mashups ,
fragmentationintegration, new
t l
WEB 3.0 The data web Control of
information No less controversial The intelligent
web The third decade,
2010-20 Semantic web
companies ascatalyst
Wh h h