These are the Introduction to Linked Data slides that we presented at the Consuming Linked Data tutorial at WWW2010 in Raleigh, NC on April 26, 2010

1. Introduc)on
to
Linked
Data
Consuming
Linked
Data
Tutorial
World
Wide
Web
Conference
2010

2. Do
you
SEARCH
or
do
you
FIND?

3. Search
for
Football
Players
who
went
to
the
University
of
Texas
at
Aus)n,
played
for
the
Dallas
Cowboys
as
Cornerback

7. Why
can’t
we
just
FIND
it…

10. Guess
how
I
FOUND
out?

11. I’ll
tell
you
how
I
did
NOT
find
it

12. Current
Web
=
internet
+
links
+
docs

13. So
what
is
the
problem?
• The
Web
has
problems
– People
aren’t
interested
in
documents
• They
are
interested
in
things
(that
are
in
documents)
– People
can
parse
documents
and
extract
meaning
• Web
pages
are
wriXen
in
HTML
• HTML
describes
visualiza)on
of
informa)on
• Computers
can’t!

14. What
do
we
need
to
do?
• We
need
to
help
machines
to
understand
the
web
so
machines
can
help
us
understand
things
– They
can
learn
what
we
are
interested
in
– They
can
help
us
beXer
find
what
we
want

15. How
can
we
do
that?
• Besides
publishing
documents
on
the
web
– which
computers
can’t
understand
easily
• Let’s
publish
something
that
computers
can
understand

16. RAW
DATA!

17. But
wait…
don’t
we
do
that
already?

18. Current
Data
on
the
Web
• Rela)onal
Databases
• APIs
• XML
• CSV
• XLS
• …
• Can’t
computers
and
applica)ons
already
consume
that
data
on
the
web?

19. True!
But
it
is
all
in
different
formats
and
data
models!

20. This
makes
it
hard
to
integrate
data

21. The
data
in
different
data
sources
aren’t
linked

22. For
example,
how
do
I
know
that
the
Juan
Sequeda
in
Facebook
is
the
same
as
Juan
Sequeda
in
TwiXer

23. Or
if
I
create
a
mashup
from
different
services,
I
have
to
learn
different
APIs
and
I
get
different
formats
of
data
back

24. Wouldn’t
it
be
great
if
we
had
a
standard
way
of
publishing
data
on
the
Web?

25. We
have
a
standardized
way
of
publishing
documents
on
the
web,
right?
HTML

26. Then
why
can’t
we
have
a
standard
way
of
publishing
data
on
the
Web?

27. Good
ques)on!
And
the
answer
is
YES.
There
is!

28. Resource
Descrip)on
Framework
(RDF)
• A
data
model
– A
way
to
model
data
– i.e.
Rela)onal
databases
use
rela)onal
data
model
• RDF
is
a
triple
data
model
• Labeled
Graph
• Subject,
Predicate,
Object
• <Juan>
<was
born
in>
<California>
• <California>
<is
part
of>
<the
USA>
• <Juan>
<likes>
<the
Seman)c
Web>

29. RDF
can
be
serialized
in
different
ways
• RDF/XML
• RDFa
(RDF
in
HTML)
• N3
• Turtle
• JSON

30. So
does
that
mean
that
I
have
to
publish
my
data
in
RDF
now?

31. You
don’t
have
to…
but
we
would
like
you
to


32. An
example

33. Document
on
the
Web

34. Databases
back
up
documents
THINGS
have
PROPERTIES:
A
Book
as
a
Title,
an
author,
…
Isbn
Title
Author
PublisherID
ReleasedData
978-­‐0-­‐596-­‐153 Programming
Toby
Segaran
1
July
209
81-­‐6
the
Seman.c
Web
…
…
…
…
…
PublisherID
PublisherName
This
is
a
THING:
A
book
)tle
“Programming
the
1
O’Reilly
Media
Seman)c
Web”
by
Toby
Segaran,
…
…
…

35. Lets
represent
the
data
in
RDF
Programming
the
)tle
Seman)c
Web
author
book
Toby
Segaran
isbn
978-­‐0-­‐596-­‐15381-­‐6
publisher
name
Publisher
O’Reilly

36. Remember
that
we
are
on
the
web
Everything
on
the
web
is
iden)fied
by
a
URI

37. And
now
let’s
link
the
data
to
other
data
Programming
the
)tle
Seman)c
Web
hXp://…/ author
Toby
Segaran
isbn978
isbn
978-­‐0-­‐596-­‐15381-­‐6
publisher
hXp://…/ name
publisher1
O’Reilly

38. And
now
consider
the
data
from
Revyu.com
hXp://…/ hasReview
hXp://…/
review1
isbn978
descrip)on
reviewer
Awesome
Book
hXp://…/
name
reviewer
Juan
Sequeda

39. Let’s
start
to
link
data
hXp://…/ hasReview
hXp://…/
review1
isbn978
Programming
the
descrip)on
)tle
Seman)c
Web
hasReviewer
sameAs
Awesome
author
hXp://…/
Book
Toby
Segaran
isbn978
hXp://…/
name
reviewer
isbn
978-­‐0-­‐596-­‐15381-­‐6
Juan
publisher
Sequeda
hXp://…/ name
publisher1
O’Reilly

40. Juan
Sequeda
publishes
data
too
hXp:// livesIn
hXp://dbpedia.org/Aus)n
juansequeda.
com/id
name
Juan
Sequeda

41. Let’s
link
more
data
hXp://…/ hasReview
hXp://…/
review1
isbn978
descrip)on
hasReviewer
Awesome
Book
hXp://…/
name
reviewer
sameAs
Juan
Sequeda
hXp:// livesIn
hXp://dbpedia.org/Aus)n
juansequeda.
com/id
name
Juan
Sequeda

42. And
more
hXp://…/ hasReview
hXp://…/
review1
isbn978
Programming
the
descrip)on
)tle
Seman)c
Web
hasReviewer
sameAs
Awesome
author
hXp://…/
Book
Toby
Segaran
isbn978
hXp://…/
name
reviewer
isbn
978-­‐0-­‐596-­‐15381-­‐6
sameAs
Juan
publisher
hXp://…/
Sequeda
name
publisher1
O’Reilly
hXp:// livesIn
hXp://dbpedia.org/Aus)n
juansequeda.
com/id
name
Juan
Sequeda

43. Data
on
the
Web
that
is
in
RDF
and
is
linked
to
other
RDF
data
is
LINKED
DATA

44. Linked
Data
Principles
1. Use
URIs
as
names
for
things
2. Use
HTTP
URIs
so
that
people
can
look
up
(dereference)
those
names.
3. When
someone
looks
up
a
URI,
provide
useful
informa)on.
4. Include
links
to
other
URIs
so
that
they
can
discover
more
things.

45. Linked
Data
makes
the
web
appear
as
ONE
GIANT
HUGE
GLOBAL
DATABASE!

46. I
can
query
a
database
with
SQL.
Is
there
a
way
to
query
Linked
Data
with
a
query
language?

47. Yes!
There
is
actually
a
standardize
language
for
that
SPARQL

48. FIND
all
the
reviews
on
the
book
“Programming
the
Seman)c
Web”
by
people
who
live
in
Aus)n

49. hXp://…/ hasReview
hXp://…/
review1
isbn978
Programming
the
descrip)on
)tle
Seman)c
Web
hasReviewer
sameAs
Awesome
author
hXp://…/
Book
Toby
Segaran
isbn978
hXp://…/
name
reviewer
isbn
978-­‐0-­‐596-­‐15381-­‐6
sameAs
Juan
publisher
Sequeda
hXp://…/ name
publisher1
O’Reilly
hXp://
juansequeda. livesIn
hXp://dbpedia.org/Aus)n
com
name
Juan
Sequeda

50. This
looks
cool,
but
let’s
be
realis)c.
What
is
the
incen)ve
to
publish
Linked
Data?

51. What
was
your
incen)ve
to
publish
an
HTML
page
in
1990?

52. 1)
Share
data
in
documents
2)
Because
you
neighbor
was
doing
it

53. So
why
should
we
publish
Linked
Data
in
2010?

54. 1)
Share
data
as
data
2)
Because
you
neighbor
is
doing
it

55. And
guess
who
is
star)ng
to
publish
Linked
Data
now?

56. Linked
Data
Publishers
• UK
Government
• US
Government
• BBC
• Open
Calais
–
Thomson
Reuters
• Freebase
• NY
Times
• Best
Buy
• CNET
• Dbpedia
• Are
you?

58. How
can
I
publish
Linked
Data?

59. Publishing
Linked
Data
• Legacy
Data
in
Rela)onal
Databases
– D2R
Server
– Virtuoso
– Triplify
– Ultrawrap
• CMS
– Drupal
7
• Na)ve
RDF
Stores
– Databases
for
RDF
(Triple
Stores)
• AllegroGraph,
Jena,
Sesame,
Virtuoso
– Talis
Plauorm
(Linked
Data
in
the
Cloud)
• In
HTML
with
RDFa

60. Ques)ons?