This document discusses the evolution of the web from Web 1.0 to Semantic Web or Web 3.0. It explains how the current web contains mostly documents instead of structured data, leading to poorly solved information needs. The solution is the Semantic Web, which involves publishing structured data on the web in a common format and linking it to allow for reasoning and solving of human problems by machines. Examples mentioned include DBPedia, which extracts structured data from Wikipedia, and the Linked Data cloud, which interconnects public datasets.

1. Hacking
with
Seman/c
Web
Deepak
Shevani
Developer
@
Yahoo!

2. What’s
in
here?
• Evolu/on
of
the
web
• Poorly
Solved
Informa/on
Needs
• Seman/c
Web
Technologies
• Linked
Data
• GeIng
Structured
Informa/on
from
Web.

3. Few
Content
Creators!
Majority
Consumers!
WEB
1.0
hKp://www.flickr.com/photos/leandrociuffo/3665883373/

4. WEB
2.0
Web
as
a
pla7orm
hKp://www.flickr.com/photos/lambertwm/4737580179/

5. Ofoto
Flickr
Personal
Website
Blogging
Britannica
Online
Wikipedia
Directories(taxonomy)
Tagging(“folksonomy”)
Content
Management
Systems
Wikis
WEB
1.0
vs
WEB
2.0

6. WEB
3.0
hKp://www.flickr.com/photos/markhillary/337685031
Which
direc/on
will
it
take?

7. Seman/c
Web
Pervasive
Web
Ar/ficial
Intelligence
Personaliza/on
Virtual
Web
WEB
3.0
Could
be
anything!

8. Tim
Berners
Lee
–
Inventor
of
the
WWW
Web
was
designed
as
an
informaCon
space,
for
humans
as
well
as
machines.
The
informaCon
on
web
must
be
explicit
for
machines,
so
that
they
take
part
in
reasoning
and
solving
human
problems
-­‐
TBL

9. A
Web
of
Documents
rather
than
Data!
Today’s
Web

10. Poorly
Solved
Informa/on
Needs
• Multiple interpretations
– Apple
• Long tail queries
– Roja (I meant a south indian actress)
• Imprecise or overly precise searches
– Brad Pitt
– pictures of strong adventures people
• Searches for descriptions
– countries in Africa
– 25 year old computer engineer living in Bangalore
– Reliable smart phone under 15,000 rupees

11. THE
SOLUTION
Seman/c
Web

12. Publish
data
on
the
Web
• Linked
Data:
linking
data
similar
to
how
we
link
documents
on
the
Web
• Query
databases
over
the
Web

13. Architectural
Challenges
• A
common
format
for
sharing
data
• Sharing
the
meaning
of
data
• Infrastructure

14. Current
Researches
&
Other
Efforts
• Seman/c
Web
research
into
knowledge
representa/on
and
reasoning,
data
integra/on,
data
quality
and
many
other
topics
• Community
effort
(Linked
Data
movement)

15. Linked
Data
cloud:
interlinked
RDF
datasets
on
the
Web
hKp://linkeddata.org/

16. DBPedia
• Dbpedia
is
dataset
that
contains
much
of
the
structured
data
in
Wikipedia
– Data
from
the
info-­‐boxes
– Links
between
Wikipedia
pages
– Categories
– Disambigua/on
and
redirect
pages
• Links
to
other
datasets

17. Fetching
individual
resources
• Use
your
web
browser
• hKp://dbpedia.org/resource/Yahoo
redirects
to
hKp://dbpedia.org/page/Yahoo
• You
can
plug
in
this
URI
into
other
Linked
Data
browsers
• HTTP
GET
to
fetch
data
– Using
curl:
add
Accept:
applicaCon/rdf+xml
for
RDF
and
enable
redirect
• curl
-­‐L
-­‐H
'Accept:applica/on/rdf+xml'
'hKp://dbpedia.org/
resource/Berlin’
• Data
dumps
– hKp://wiki.dbpedia.org/Datasets

18. References
• hKp://www.slideshare.net/tompraison
• hKp://inkdroid.org/journal/2010/06/04/
the-­‐5-­‐stars-­‐of-­‐open-­‐linked-­‐data/
• hKp://www.freebase.com/
• hKp://dbpedia.org/About

19. Thank
you
J