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TRANSCRIPT
Link
ed D
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App
licat
ions
: Th
ere
is n
o O
ne-S
ize-
Fits
-All
Form
ula
Asun
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Góm
ez-P
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Fa
culta
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Info
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ica,
Uni
vers
idad
Pol
itécn
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de M
adrid
C
ampu
s de
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nced
o sn
, 286
60 B
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el M
onte
, Mad
rid
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upm
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as
un@
fi.up
m.e
s
Ack
now
ledg
emen
ts:
O.C
orch
o, D
. Gar
ijo, D
. Vila
, L.V
ilche
s, B
. Vill
azón
Wor
k di
strib
uted
und
er th
e lic
ense
Cre
ativ
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com
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cedi
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pain
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plex
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ta fr
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. Cer
cedi
lla. S
pain
M. C
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ntes
Don
Qui
xote
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rew
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tor
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slat
ed
into
1960
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r of
publ
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VIAF
loca
ted
Dat
a In
tegr
atio
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4
M. C
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calá
de
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birth
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NE
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dia
SS
SW-1
2: 9
th S
umm
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choo
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Ont
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Eng
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and
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Sem
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Web
. Cer
cedi
lla. S
pain
Tabl
e of
con
tent
1.Th
e co
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Foun
datio
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3.Th
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Exa
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brar
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5
SS
SW-1
2: 9
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and
the
Sem
antic
Web
. Cer
cedi
lla. S
pain
The
mod
el (O
ntol
ogy)
and
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data
13
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k
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trans
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te
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on
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te
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de
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Dat
a
birth
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birth
Plac
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2: 9
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Ont
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and
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Sem
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cedi
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pain
14
http
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http
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trans
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Pub
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date
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aniz
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47
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trans
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date
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in
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6
Vid
a d
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vant
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aave
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Don
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anch
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olog
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a ht
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uage
wor
k
Bib
liote
ca
Per
son
http
://ge
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birth
Pla
ce
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es/re
sour
ce/A
lcal
á de
Hen
ares
birth
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ce
The
mod
el (O
ntol
ogy)
and
the
data
SS
SW-1
2: 9
th S
umm
er S
choo
l on
Ont
olog
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Eng
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ring
and
the
Sem
antic
Web
. Cer
cedi
lla. S
pain
Tabl
e of
con
tent
1.Th
e co
ncep
t 2.
Foun
datio
ns
3.Th
e pr
oces
s 4.
Exa
mpl
es
15
Sp
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catio
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Mod
ellin
g
RD
F G
ener
atio
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Publ
icat
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Expl
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tion
Link
s
Gen
erat
ion
SS
SW-1
2: 9
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umm
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choo
l on
Ont
olog
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Eng
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ring
and
the
Sem
antic
Web
. Cer
cedi
lla. S
pain
•D
ata
sour
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anal
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•U
RI D
esig
n
•Li
cens
e de
finiti
on
Sp
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catio
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Mod
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RD
F G
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Publ
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Expl
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tion
Link
s
Gen
erat
ion
16
Reu
nión
bila
tera
l CN
IG –
OE
G
Pro
yect
o O
TALE
X
SS
SW-1
2: 9
th S
umm
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choo
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Ont
olog
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Eng
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ring
and
the
Sem
antic
Web
. Cer
cedi
lla. S
pain
UR
I des
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•M
eani
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l UR
Is v
s op
aque
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para
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Box
(ont
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(TB
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Spec
ifica
tion
17
Reu
nión
bila
tera
l CN
IG –
OE
G
Pro
yect
o O
TALE
X
Sp
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catio
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Mod
ellin
g
RD
F G
ener
atio
n
Publ
icat
ion
Expl
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tion
Link
s
Gen
erat
ion
SS
SW-1
2: 9
th S
umm
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choo
l on
Ont
olog
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Eng
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ring
and
the
Sem
antic
Web
. Cer
cedi
lla. S
pain
Lice
nse
Def
initi
on
•Se
vera
l pos
sibi
litie
s •
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UK
Ope
n G
over
nmen
t Lic
ense
•O
pen
Dat
abas
e Li
cens
e
•P
ublic
Dom
ain
Ded
icat
ion
and
Lice
nse
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pen
Dat
a C
omm
ons
Attr
ibut
ion
Lice
nse
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e C
reat
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Com
mon
s Li
cens
es (C
C)
•It
is a
lso
poss
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to re
use
and
appl
y an
exi
stin
g lic
ense
of t
he (g
over
nmen
t) da
ta s
ourc
es.
Spec
ifica
tion
18
Reu
nión
bila
tera
l CN
IG –
OE
G
Pro
yect
o O
TALE
X
Sp
ecifi
catio
n
Mod
ellin
g
RD
F G
ener
atio
n
Publ
icat
ion
Expl
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tion
Link
s
Gen
erat
ion
SS
SW-1
2: 9
th S
umm
er S
choo
l on
Ont
olog
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Eng
inee
ring
and
the
Sem
antic
Web
. Cer
cedi
lla. S
pain
Ont
olog
y 19
•O
ntol
ogie
s:
•A
set
of t
erm
s •
A s
et o
f exp
licit
assu
mpt
ions
rega
rdin
g th
e in
tend
ed m
eani
ng o
f th
e te
rms.
•
Alm
ost a
lway
s in
clud
ing
conc
epts
and
thei
r cla
ssifi
catio
n •
Alm
ost a
lway
s in
clud
ing
prop
ertie
s be
twee
n co
ncep
ts
•S
hare
d un
ders
tand
ing
of a
dom
ain
of in
tere
st
•
Ont
olog
ies
expr
esse
d in
OW
L or
RD
F(S
), bo
th b
ased
on
RD
F
•Th
e N
eOn
met
hodo
logy
hel
ps to
bui
ld o
ntol
ogie
s
Mod
ellin
g
Spec
ifica
tion
Mod
ellin
g
R
DF
Gen
erat
ion
Publ
icat
ion
Link
s G
ener
atio
n
Expl
oita
tion
SS
SW-1
2: 9
th S
umm
er S
choo
l on
Ont
olog
ical
Eng
inee
ring
and
the
Sem
antic
Web
. Cer
cedi
lla. S
pain
2. V
ocab
ular
y de
velo
pmen
t
•Fe
atur
es
•Li
ghtw
eigh
t :
•Ta
xono
mie
s an
d a
few
pro
perti
es
•C
onse
nsua
ted
voca
bula
ries
•To
avo
id th
e m
appi
ng p
robl
ems
•M
ultil
ingu
al
•Li
nked
dat
a ar
e m
ultil
ingu
al
•Th
e N
eOn
met
hodo
logy
can
hel
p to
•
Re-
engi
ner N
on o
ntol
ogic
al re
sour
ces
into
ont
olog
ie•
Pro
s: u
se d
omai
n te
rmin
olog
y al
read
y co
nsen
suat
ed b
y do
mai
n ex
perts
•
With
draw
in h
eavy
wei
ght o
ntol
ogie
s th
ose
feat
ures
th
at y
ou d
on’t
need
•
Reu
se e
xist
ing
voca
bula
ries
21
Asu
nció
n G
ómez
Pér
ez
Iden
tific
atio
n of
the
data
sou
rces
Voca
bula
ry
deve
lopm
ent
Gen
erat
ion
of th
e R
DF
Dat
a
Publ
icat
ion
of th
e R
DF
data
Link
ing
th
e R
DF
data
Dat
a cl
eans
ing
Enab
le e
ffect
ive
di
scov
ery
SS
SW-1
2: 9
th S
umm
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choo
l on
Ont
olog
ical
Eng
inee
ring
and
the
Sem
antic
Web
. Cer
cedi
lla. S
pain
O. S
peci
ficat
ion
O. C
once
ptua
lizat
ion
O. I
mpl
emen
tatio
n O
. For
mal
izat
ion
1 R
DF(
S)
OW
L Flog
ic
NeO
n M
etho
dolo
gy
Ont
olog
y R
estru
ctur
ing
(Pru
ning
, Ext
ensi
on,
Spe
cial
izat
ion,
Mod
ular
izat
ion)
8
O. L
ocal
izat
ion 9
Ont
olog
y S
uppo
rt A
ctiv
ities
: Kno
wle
dge
Acq
uisi
tion
(Elic
itatio
n); D
ocum
enta
tion;
C
onfig
urat
ion
Man
agem
ent;
Eva
luat
ion
(V&
V);
Ass
essm
ent
1,2,
3,4,
5,6,
7,8,
9
O. A
ligni
ng
O. M
ergi
ng
Alig
nmen
ts
5
5
5
Ont
olog
ical
Res
ourc
e R
eeng
inee
ring
4
4
4
6
6
6
6
Kno
wle
dge
Res
ourc
es
Ont
olog
ical
Res
ourc
es
O. D
esig
n P
atte
rns
2
Non
Ont
olog
ical
Res
ourc
es
Thes
auri
Dic
tiona
ries
Glo
ssar
ies
Lexi
cons
Taxo
nom
ies
Cla
ssifi
catio
n S
chem
as
Non
Ont
olog
ical
Res
ourc
e R
euse
Non
Ont
olog
ical
Res
ourc
e R
eeng
inee
ring
2 2
O. R
epos
itorie
s an
d R
egis
tries
Flog
ic
RD
F(S
) O
WL
Ont
olog
y D
esig
n P
atte
rn R
euse
7
3
Ont
olog
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Res
ourc
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euse
3
SS
SW-1
2: 9
th S
umm
er S
choo
l on
Ont
olog
ical
Eng
inee
ring
and
the
Sem
antic
Web
. Cer
cedi
lla. S
pain
Reu
seav
aila
ble
voca
bula
ries 23
Reu
se s
uita
ble
O
ntol
ogie
s an
d vo
cabu
larie
s
Link
ed O
pen
Voca
bula
ries
…
Mod
ellin
g
Sea
rch
for s
uita
ble
non-
onto
logi
cal r
esou
rces
Dom
ain-
rela
ted
site
s
Gov
ernm
ent C
atal
ogs
are
ther
e su
itabl
e re
sour
ces?
Bui
ld th
e vo
cabu
lary
by
trans
form
ing
avai
labl
e re
sour
ces
Yes
No
Bui
ld th
e vo
cabu
lary
from
sc
ratc
h H
ighl
y re
liabl
e W
eb S
ites
SS
SW-1
2: 9
th S
umm
er S
choo
l on
Ont
olog
ical
Eng
inee
ring
and
the
Sem
antic
Web
. Cer
cedi
lla. S
pain
Publ
icac
ión
Dat
a pu
blic
atio
n M
etad
ata
publ
icac
ion
usin
g V
OID
To
faci
litat
e th
e di
scov
ery
• R
egis
ter i
n C
KA
N y
our d
atas
et
• Use
to
site
map
4rdf
to g
ener
ate
the
site
map
• U
ploa
d th
e si
te m
ap to
Goo
gle
and
Sind
ice
Sp
ecifi
catio
n
Mod
ellin
g
RD
F G
ener
atio
n
Publ
icat
ion
Expl
oita
tion
Link
s
Gen
erat
ion
SS
SW-1
2: 9
th S
umm
er S
choo
l on
Ont
olog
ical
Eng
inee
ring
and
the
Sem
antic
Web
. Cer
cedi
lla. S
pain
Tabl
e of
con
tent
1.Th
e co
ncep
t 2.
Foun
datio
ns
3.Th
e pr
oces
s 4.
Exa
mpl
es
•Li
brar
ies:
http
://da
tos.
bne.
es
•ht
tp://
linke
ddat
a3.d
ia.fi
.upm
.es/
bne-
dem
o •
Geo
: http
://ge
o.lin
kedd
ata.
es/
•M
eter
eolo
gy: h
ttp://
aem
et.li
nked
data
.es/
•
Trav
ellin
g: h
ttp://
web
enem
asun
o.lin
kedd
ata.
es/
25
SS
SW-1
2: 9
th S
umm
er S
choo
l on
Ont
olog
ical
Eng
inee
ring
and
the
Sem
antic
Web
. Cer
cedi
lla. S
pain
MA
RC
21
•D
iffer
ent c
omm
unic
atio
n fo
rmat
s:
•M
AR
C 2
1 fo
rmat
for B
iblio
grap
hic
Dat
a •
MA
RC
21
form
at fo
r Aut
horit
y D
ata
•O
ther
s: H
oldi
ngs,
Cla
ssifi
catio
n, e
tc.
•
Thre
e m
ain
elem
ents
: •
Rec
ord
stru
ctur
e: IS
O 2
709.
Fie
lds,
indi
cato
rs,
subf
ield
s…
•C
onte
nt d
esig
natio
n: "M
eani
ng" o
f cod
es a
nd
conv
entio
ns
•C
onte
nt: D
efin
ed o
utsi
de th
e M
AR
C s
tand
ard
(ISB
D,
AA
CR
..)
26
Spec
ifica
tion
Mod
ellin
g
RD
F G
ener
atio
n
Publ
icat
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Link
s G
ener
atio
n
Expl
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tion
SS
SW-1
2: 9
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umm
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choo
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olog
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pain
Spec
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BN
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ecor
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the
MA
RC
21
form
at
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9 m
illio
n bi
blio
grap
hica
l rec
ords
•
4.2
mill
ion
auth
ority
reco
rds
•V
ersi
on: N
ovem
ber,
2011
27
AU
THO
RIT
Y
BIBL
IOG
RAP
HIC
Pers
ons
Cor
pora
te b
odie
s
Con
fere
nces
Title
s
Subj
ect
7657
6
Map
s
3207
27
Soun
d re
cord
ings
1660
17
Gra
ving
s, d
raw
ings
, pic
ture
s
3577
0
Man
uscr
ipts
1439
59
Anci
ent b
ooks
2696
560
Mod
ern
book
s
1784
73 S
core
s
3021
Elec
tron
ic re
sour
ces
1566
34 S
eria
ls
9667
2
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cedi
lla. S
pain
MA
RC
21 re
cord
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pain
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RD
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goo
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ultil
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SW-1
2: 9
th S
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Sem
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pain
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Publ
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32
SS
SW-1
2: 9
th S
umm
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choo
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and
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Sem
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Web
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pain
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2: 9
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pain
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SW-1
2: 9
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Iden
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