Presentation for the Linked Open Data American Art Collaborative on April 29, 2013.

1. Linking
the
American
Art
Museum
to
the
Cloud
What
is
Linked
Open
Data?
(Bear
with
me…)
Data
published
by
exis0ng
internet
protocols
that
use
a
URI
(Unique
Resource
Indicator)
as
the
primary
discoverable
en0ty
for
a
resource
(e.g.
person,
object,
web
page,
etc.)
THE
FIVE
STARS
OF
LOD
(Tim
Berners
Lee):
★
make
your
stuff
available
on
the
web
(whatever
format)
under
an
open
license
★★
make
it
available
as
structured
data
(e.g.,
Excel
instead
of
image
scan
of
a
table)
★★★
use
non-­‐proprietary
formats
(e.g.,
CSV
instead
of
Excel)
★★★★
use
URIs
to
iden0fy
things,
so
that
people
can
point
at
your
stuff
★★★★★
link
your
data
to
other
data
to
provide
context

2. Linking
the
American
Art
Museum
to
the
Cloud
What
is
Linked
Open
Data
good
for?
For
the
American
Art
Museum,
Linked
Open
Data
will:
• Make
our
collec0ons
data
more
discoverable
on
the
web
• Allow
for
more
sophis0cated
queries
about
our
collec0ons
• Create
connec0ons
with
other
museums
• Create
connec0ons
with
other
non-­‐museum
resources
• Create
connec0ons
with
our
dispersed
content
on
social
media
• Help
us
beMer
adapt
to
the
changing
web

3. Linking
the
American
Art
Museum
to
the
Cloud
GeLng
Started
Our
IniMal
QuesMons
• Will
it
take
a
lot
of
0me
and
resources
to
prepare
our
data?
• How
does
LOD
differ
from
what
a
Google
search
can
do?
• Is
it
foolish
to
be
doing
this
before
standards
are
in
place?
• What
if
people
do
inappropriate
things
with
our
data?
• Will
it
be
worth
the
0me
and
effort
in
the
end?
• How
do
we
handle
all
of
the
non-­‐public
data
that
we
have?
The
Project
• Working
with
the
Informa0on
Sciences
Ins0tute
(ISI)
and
Department
of
Computer
Science
at
the
University
of
Southern
California.
• Goal:
Publish
5-­‐star
Linked
Open
Data
of
our
complete
collec0ons
data.
• Project
Phases:
Prepare
the
data,
Create
an
ontology,
map
the
data
to
RDF,
link
the
data
to
hub
datasets,
publish
the
data.

4. Linking
the
American
Art
Museum
to
the
Cloud
The
Process
Preparing
the
data
• Collec0ons
data
is
stored
in
TMS
• Publish
only
the
data
that
is
already
visible
on
our
website
• Use
an
exis0ng
output
report
from
TMS
• Several
fields
needed
to
be
interpreted
first
Designing
the
Ontology
• We
built
our
ontology
around
exis0ng
ontologies
• Europeana
Data
Model
v.2
• SKOS
• Dublin
Core
• RDA
Group
2
Elements
• schema.org

5. Linking
the
American
Art
Museum
to
the
Cloud
The
Process
Mapping
the
Data
to
RDF
(Resource
DescripMon
Framework)
• Used
KARMA
tool
to
model
the
data
(hMp://www.isi.edu/integra0on/karma/)

6. Linking
the
American
Art
Museum
to
the
Cloud
The
Process
Linking
the
Data
to
External
Data
• Verify
matches
before
publishing

7. Linking
the
American
Art
Museum
to
the
Cloud
The
Process
Linking
the
Data
to
External
Data
(cont…)
• Have
already
linked
ar0sts
to:
• DBPedia
-­‐
2,194
• New
York
Times
-­‐
70
• Addi0onally,
can
link
ar0sts
to:
• GeMy
Union
List
of
Ar0st
Names
-­‐
2,110
(ULAN
is
not
yet
published
as
LOD,
but
will
be)
• Rijksmuseum
dataset
–
551
(links
are
not
yet
verified)
• In
the
works:
• Linking
places
• Linking
concepts
• Linking
to
datasets
from
other
museums
• Linking
to
social
media
content
Publishing
• Plan
to
publish
complete
dataset
under
a
CC0
license

8. Linking
the
American
Art
Museum
to
the
Cloud
Conclusions
• Able
to
convert
data
for
en0re
collec0on
• Using
KARMA
to
model
the
data
and
verify
links
reduced
0me
and
resources
• LOD
eliminates
the
“noise”
of
a
Google
search
What’s
next?
• Embed
LOD
on
our
website
• Improve
representa0on
of
ar0sts
on
Wikipedia
• Create
an
ongoing
maintenance
plan
• Tag
object-­‐
and
person-­‐related
museum
content
on
social
sites
• Inves0gate
mapping
and
linking
an
artwork’s
subject
• Expand
the
LOD
in
ways
that
will
enhance
research
• Create
a
tool
that
allows
users
to
“curate
stories”:
• hMp://prezi.com/htrvh2jrcsio/cura0ng-­‐stories-­‐with-­‐linked-­‐open-­‐data/
• Encourage
others
to
build
applica0ons
with
our
data

9. Linking
the
American
Art
Museum
to
the
Cloud
Example