Journey From Web 2.0 and Web 3.0

8/3/2019 Journey From Web 2.0 and Web 3.0

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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

Journey From Web 2.0 and Web 3.0

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