1. Consuming
Linked
Data
Tutorial
World
Wide
Web
Conference
2010
Olaf
Har=g
Juan
F.
Sequeda
Patrick
Sinclair
Jamie
Taylor
2. Why?
• 2010
is
the
year
of
Consuming
Linked
Data
– Linked
Data
has
been
published
since
2007
• 1st
Publishing
Linked
Data
Tutorial
at
ISWC08
• 1st
Consuming
Linked
Data
tutorial
at
ISWC09
• A
lot
has
happened
in
the
last
6
months
• And
we
want
much
more
to
con=nue
happening
3. How
many
people
are
familiar
with
• Linked
Data
• RDF
• SPARQL
• Web
Architecture
(HTTP,
etc)
4. History
• Linked
Data
Design
Issues
by
TimBL
July
2006
• Linked
Open
Data
Project
WWW2007
• First
LOD
Cloud
May
2007
• 1st
Linked
Data
on
the
Web
Workshop
WWW2008
• 1st
Triplifica=on
Challenge
2008
• How
to
Publish
Linked
Data
Tutorial
ISWC2008
• BBC
publishes
Linked
Data
2008
• 2nd
Linked
Data
on
the
Web
Workshop
WWW2009
• NY
Times
announcement
ISWC09
• 1st
Linked
Data-‐a-‐thon
ISWC2009
• How
to
Consume
Linked
Data
Tutorial
ISWC2009
• Data.gov.uk
publishes
Linked
Data
2010
• …
18. The
Modigliani
Test
• Tell
me
all
the
loca=ons
of
all
the
original
pain=ngs
of
Modigliani
• Daniel
Koller
(@dakoller)
showed
that
you
can
find
this
with
a
SPARQL
query
on
DBpedia
Thanks
Richard
MacManus
-‐
ReadWriteWeb
19.
20. Results
of
the
Modigliani
Test
• Atanas
Kiryakov
from
Ontotext
• Used
LDSR
–
Linked
Data
Seman=c
Repository
– Dbpedia
– Freebase
– Geonames
– UMBEL
– Wordnet
Published
April
26,
2010:
hep://www.readwriteweb.com/archives/the_modigliani_test_for_linked_data.php
23. Who
Are
We?
• Olaf
Har=g
–
Humboldt-‐Universitaet
zu
Berlin
• Juan
Sequeda
–
University
of
Texas
at
Aus=n
• Patrick
Sinclair
–
BBC
• Jamie
Taylor
–
Metaweb
Technologies
24. By
lunch
=me
you
will
• Learn
what
Linked
Data
is
• Realize
that
there
is
a
lot
of
data
out
on
the
web
• Get
excited
about
Linked
Data
• Wonder
how
you
can
access
Linked
Data
• Learn
about
the
different
ways
of
consuming
linked
data
• Realize
that
there
is
s=ll
work
to
be
done
• Want
to
create
a
Linked
Data
applica=on
25. Outline
• 9:00
–
9:05
Welcome
(5
min)
• 9:05
–
9:25
Introduc=on
to
Linked
Data
(25
min)
• 9:25
–
9:40
Consuming
Linked
Data
by
Humans
(15
min)
• 9:40
–
10:00
Consuming
Linked
Data
by
Machines
(20
min)
• 10:00
–
10:30
Consuming
Linked
Data
with
SPARQL
(30
min)
• 10:30
–
11:00
Coffee
Break
• 11:00
–
11:30
Gemng
Started
to
Consume
Linked
Data
(30
min)
• 11:30
–
11:50
Linked
Data
Applica=ons
(20
min)
• 11:50
–
12:10
Open
Research
Problems
(20
min)
• 12:10
–
12:30
Ques=ons
and
Discussion