evolution from web 1.0 to web 2.0

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 Difference Between Web 1.0, 2.0,
3.0, and 4.0 Systems

  PRIMETECH
SOFTWARE

For  the last few years the phrase 2.0 has been a
technological buzzword. This article discussing
the future of the Web, and the roadmap for Web
3.0 and beyond.
What is the difference between Web 1.0, Web
2.0, Web 3.0, and Web 4.0? Although the lines
between them are blurred, here is my take on
the differences.

Web 1.0
When the Internet gained momentum, one of the
primary benefits was the ability of people and
organizations to share information. As the Web
grew, tools were developed to help people using
the Web find information with ease and
accuracy. Tools and technology were developed
to facilitate searching, and utilizing the Web in
mainstream, everyday fashion. People figured
out how to help people use the Web to serve
customers, play games, advertise products and
services, and share just about every type of
information.
Some of the technologies developed during this
stage of the Web include:
File and Web Servers
Content and Enterprise Portals
Search Engines (AltaVista, Yahoo!)
E-mail (Yahoo!, Hotmail)
P2P File Sharing (Napster, BitTorrent)
Publish and Subscribe Technologies

Web 2.0
It didn’t take long for companies and individuals
to figure out the power of community. As Web
participation grew, people realized that they
could leverage and utilize communities to create
and share content in ways previously
unharnessed. Web 2.0 or “the Social Web” was
an effort to enable individuals from all around
the world to participate in content creation and
sharing, and to enhance individual Web users’
experience.
Many of the mega “.com” companies grew out
of the Web 2.0 era, including Facebook,
MySpace, YouTube, eBay, and Flickr.
Some of the key technologies developed during
this stage of the Web include:
Blogs (Blogger)
Wikis (Wikipedia)
Social Bookmarking (del.icio.us)
Social Networks (Facebook, MySpace)
Instant Messaging (Yahoo!, Google Talk,
AIM)
Mash-ups
Auction Web sites (eBay)
Professional Networking (Linked-in, Plaxo)

Web 3.0
Web technologies have traditionally focused on
connecting content and allowing people to
interact and collaborate. However, the systems
that were connecting the content had no
knowledge about relationships between the
information that they were connecting. Web 3.0
endeavors to connect the information of the
Web together in new ways.
Searching in the Web 2.0 world is keyword
based. In other words, you search for a word or
phrase, such as “basketball,” and the search
engine returns all content with “basketball” in it.
Web 3.0 takes this searching to the next step. In
the Web 3.0 world, searching for “basketball”
would find documents with the word
“basketball” in it. It would also find related
results, such as NBA Teams, Utah Jazz,
professional sports, etc.
Web 1.0 and 2.0 were designed to share data
that the user can understand but that was
transparent to the computer. HTML, for
example, describes how content should look but
does not tell the user (or the computer)
anything about what the content is. Web 3.0 will
utilize semantic technologies that describe what
an item is, not just how it should look.
Basketball, for example, is a sport, has players
that make up a team, involves a ball, is played
on a court, etc. This semantic information will
allow computers to look up other matches
based on similar properties.
Some of the key technologies that are being
developed during this stage of the Web include:
Ontologies (YAGO, DBPedia)
Semantic Searching
Thesauri and Taxonomies
Personal Intelligent Digital Assistants
Knowledge Bases

Web 4.0
Once Web 3.0 technologies are firmly entrenched
in the World Wide Web, the next step will be to
develop technologies that have the ability to
learn and reason. Developing intelligent systems
will require all of the building blocks of Web 1.0,
Web 2.0, and Web 3.0. Technologies will not
just be able to connect information or connect
knowledge through semantic techniques, but
they will be able to apply the knowledge shared
between data items and define context to do
basic reasoning. For example, if I’m doing
research on Apple Computers, I would not want
my research to include recipes of apple pies or
how to prune an apple tree.
Examples of key technologies that will or are
being developed include:
Semantic Social Networks (Twine)
Semantic E-mail (IBM Omnifind)
Context-Aware Games
Better Natural Language Processing

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