The document discusses the evolution of the web from Web 1.0 to Web 3.0, focusing on the semantic web as an extension that allows for better data sharing and understanding between machines and humans. It highlights key developments, such as the foundation of schema.org and the need for structured data formats. The advantages include improved data quality and collaboration, but challenges like vastness and inconsistency remain.

1. Discuss Semantic Web
By
Umang Shukla
(U11CO015)

2. Web 1.0
1993
Read Only Web
Hyperlinks, Static
45 Million Global Users

3. Web 2.0
Read and Write
Content Sharing
Social Media
1 Billion+ Global Users
2004

4. Web 3.0
Semantic Web
Linked Data
Human + Machines are users
2010 ~

5. Semantics
means relating to meaning in
language or logic
HTML descibes the syntax not
the semantics

6. The Semantic Web
An extension of the
current Web that
provides an easier way
to find, share, reuse and
combine information
more easily

7. History
• The concept of the Semantic
Network Model was formed in the
early 1960s by people of different
professions by publishing about
them
• The term "Semantic Web" was
coined by Tim Berners-Lee in
2008
• Schema.org launched on June 2,
2011 by Bing, Google and Yahoo
to provides a collection of

8. Purpose
The Semantic Web was
envisioned as a system that
enables machines to "understand"
and respond to complex human
requests based on their meaning
It is regarded as an integrator
across different content,
information applications and
systems

9. Whose job is it ?
The Webmaster's as its their
site and they need newer
applications to understand
them

10. How do we get
semantic web
• Applications getting better at
understanding human semantics
(‘Top Down’)
• More structured formats are
gaining wider use (‘Bottom Up’)
• More database driven sites, so
less need for humans to
understand it all
• ‘Semantic web’ applications
appearing

11. Top Down
Depends of ‘more intelligent’
computers
–Google Book Search
–LibX Toolbar

12. Bottom Up
Depends on more structured data
using agreed standards
–URIs
–RDF
–OWL
–HTML5 microformat
–SPARQL

13. Advantages
• Premanent increase in data
quality
• Better search visibility and higher
ranking
• Empower collaboration, data
sharing and integration for
bussiness applications

14. Challenges
Some of the challenges of
semantic web include
–Vastness
–Vagueness
–Uncertainity
–Inconsistency
–Deciet