Presentation to the 2014 Semantic Web In Libraries Conference (SWIB14) in Bonn, Germany 3rd December 2014

1. Entification:
The
Route
to
Useful
Library
Data
Richard
Wallis
Technology
Evangelist
@rjw

8. 6 excellent SWIB's

9. 6 excellent SWIB's
Many great LD Projects
So today …..
on the web?
Where are we

10. Where are we on the web?

19. Invisible on the web!
Irrelevant!

20. Invisible on the web!
Irrelevant!

22. A global, nonprofit library cooperative
16,737 members in 109 countries
17 offices
5 data centers

23. • 322
Comprehensive and global
million
cataloging
records
• 2.1
billion
holdings
• 17.3
million
e-­‐resources
in
the
WorldCat
knowledge
base
•Nearly
2,000
e-­‐content
collections
• 1.5
billion
items
in
WorldCat
Discovery,
including:
• 297
million
peer-­‐reviewed
articles
• 41
million
digital
items
• 33
million
pieces
of
evaluative
content
• 35
million
archival
materials
• 8
million
open-­‐access
items
• and
much
more…

24. Comprehensive and global
253
million
books
16
million
e-­‐books
12
million
serials
12
million
visual
materials
7
million
musical
scores
4
million
maps
English:
83
million
German:
25
million
French:
18
million
Spanish:
8.2
million
Chinese:
5.1
million
Italian:
3.4
million
Dutch:
3.3
million
Japanese:
2.9
million
Russian:
2.9
million
Danish
2.1
million
Swedish:
1.9
million
Portuguese:
1.3
million
Just
a
few
of
the
dozens
of
types
of
content:
Some
of
the
485
languages
represented…

25. • 322
Comprehensive and global
million
cataloging
records
• 2.1
billion
holdings
• 17.3
million
e-­‐resources
in
the
WorldCat
knowledge
base
•Nearly
2,000
e-­‐content
collections
• 1.5
billion
items
in
WorldCat
Discovery,
including:
• 297
million
peer-­‐reviewed
articles
• 41
million
digital
items
• 33
million
pieces
of
evaluative
content
• 35
million
archival
materials
• 8
million
open-­‐access
items
• and
much
more…

26. ≈
2
Billion
Records

27. ≈
2
Billion
Records
000
a22002411
01261nam
4500
001
303
005
00000000000000.0
008
b
990716m19091912enkb
0
000
eng
035
__
(DLC)
|9
24002676
906
__
CATALOGER:
0
|a
ibc
|b
orignew
|c
u
|d
ocip
|e
19
|f
duplicated
y-­‐gencatlg
|g
PREMARC;
955
__
|a
removed
record,
This
cataloging
under
imported
99-­‐219818
24-­‐2676
on
have
I
LCCN
changed
that
to
LCCN,
copy
and
characteristics,
the
deleted
record;
PREMARC
retained,
do
please
NEW
as
and
INPUT
this
complete
based
record
the
on
item
hand;
in
item
submit
selection;
for
if
as
add
copy.
a
07-­‐16-­‐99
ta05
010
__
24002676
|a
99219818
|z
__
DLC
|a
DLC
|c
00
DA760
|a
.B88
|b
1909
a
|Scotland,
Peter
Brown,
|d
Hume,
1849-­‐1918.
History
a
of
by
|c
Hume
P.
Brown.
|b
Cambridge,
Press,
University
1909-­‐12.
|c
(part
maps
|c
fold.)
cm.
20
series
historical
v.
408;
p.
2,
v.
455-­‐464;
p.
3,
[435]-­‐444.
v.
Stewart.-­‐-­‐From
2.
accession
disruption,
the
Mary
of
to
1689
the
1843.

29. Structured
Data
Objectives

30. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web

31. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons

32. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects

33. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects
• Dewey.info
–
classifications

34. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects
• Dewey.info
–
classifications
• Dbpedia
–
most
things

35. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood

36. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood
• Standard
data
access
patterns

37. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood
• Standard
data
access
patterns
• Common
vocabularies

38. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood
• Standard
data
access
patterns
• Common
vocabularies
• Visibility
in
search
engines

39. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood
• Standard
data
access
patterns
• Common
vocabularies
• Visibility
Conclusions
in
search
engines

40. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood
• Standard
data
access
patterns
• Common
vocabularies
• Visibility
Conclusions
in
search
engines
• Linked
Data

41. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood
• Standard
data
access
patterns
• Common
vocabularies
• Visibility
Conclusions
in
search
engines
• Linked
Data
• RDF
–
RDFa,
RDF/XML,
JSON-­‐LD,
Turtle,
nTriples

42. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood
• Standard
data
access
patterns
• Common
vocabularies
• Visibility
Conclusions
in
search
engines
• Linked
Data
• RDF
–
RDFa,
RDF/XML,
JSON-­‐LD,
Turtle,
nTriples
• Canonical
URIs

43. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood
• Standard
data
access
patterns
• Common
vocabularies
• Visibility
Conclusions
in
search
engines
• Linked
Data
• RDF
–
RDFa,
RDF/XML,
JSON-­‐LD,
Turtle,
nTriples
• Canonical
URIs
• Schema.org

44. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood
• Standard
data
access
patterns
• Common
vocabularies
• Visibility
Conclusions
in
search
engines
• Linked
Data
• RDF
–
RDFa,
RDF/XML,
JSON-­‐LD,
Turtle,
nTriples
• Canonical
URIs
• Schema.org
• Backed
and
recognized
by
Google,
Bing,
Yahoo!,
Yandex

45. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood
• Standard
data
access
patterns
• Common
vocabularies
• Visibility
Conclusions
in
search
engines
• Linked
Data
• RDF
–
RDFa,
RDF/XML,
JSON-­‐LD,
Turtle,
nTriples
• Canonical
URIs
• Schema.org
• Backed
and
recognized
by
Google,
Bing,
Yahoo!,
Yandex
• Widely
adopted
&
understood
–
20%
of
web

46. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood
• Standard
data
access
patterns
• Common
vocabularies
• Visibility
obvious
Conclusions
in
search
engines
• Linked
Data
• RDF
–
RDFa,
RDF/XML,
JSON-­‐LD,
Turtle,
nTriples
• Canonical
URIs
• Schema.org
• Backed
and
recognized
by
Google,
Bing,
Yahoo!,
Yandex
• Widely
adopted
&
understood
–
20%
of
web
fairly
y

47. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood
• Standard
data
access
patterns
• Common
vocabularies
• Visibility
obvious
Conclusions
in
search
engines
• Linked
Data
• RDF
–
RDFa,
RDF/XML,
JSON-­‐LD,
Turtle,
nTriples
• Canonical
URIs
• Schema.org
• Backed
and
recognized
by
Google,
Bing,
Yahoo!,
Yandex
• Widely
adopted
&
understood
–
20%
of
web
fairly
y

49. Introducing
Linked
Data
Phase
1

50. Introducing
Linked
Data
Phase
1
• First
mine
the
data

51. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities

52. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
• Person,
Organization,
CreativeWork,
etc.

53. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
• Person,
Organization,
CreativeWork,
etc.
• Match
strings
to
things

54. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
• Person,
Organization,
CreativeWork,
etc.
• Match
strings
to
things
• People/Organization
names
–
viaf.org,
etc

55. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
• Person,
Organization,
CreativeWork,
etc.
• Match
strings
to
things
• People/Organization
names
–
viaf.org,
etc
• Subjects
–
Library
of
Congress

56. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
• Person,
Organization,
CreativeWork,
etc.
• Match
strings
to
things
• People/Organization
names
–
viaf.org,
etc
• Subjects
–
Library
of
Congress

57. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
• Person,
Organization,
CreativeWork,
etc.
• Match
strings
to
things
• People/Organization
names
–
viaf.org,
etc
• Subjects
–
Library
of
Congress
Phase
2

58. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
• Person,
Organization,
CreativeWork,
etc.
• Match
strings
to
things
• People/Organization
names
–
viaf.org,
etc
• Subjects
–
Library
of
Congress
Phase
2
• Model
what
is
of
interest
to
the
Web

59. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
• Person,
Organization,
CreativeWork,
etc.
• Match
strings
to
things
• People/Organization
names
–
viaf.org,
etc
• Subjects
–
Library
of
Congress
Phase
2
• Model
what
is
of
interest
to
the
Web
• All
our
data
is
important
to
us

60. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
• Person,
Organization,
CreativeWork,
etc.
• Match
strings
to
things
• People/Organization
names
–
viaf.org,
etc
• Subjects
–
Library
of
Congress
Phase
2
• Model
what
is
of
interest
to
the
Web
• All
our
data
is
important
to
us
• What
will
draw
people
to
our
resources?

61. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
• Person,
Organization,
CreativeWork,
etc.
• Match
strings
to
things
• People/Organization
names
–
viaf.org,
etc
• Subjects
–
Library
of
Congress
Phase
2
• Model
what
is
of
interest
to
the
Web
• All
our
data
is
important
to
us
• What
will
draw
people
to
our
resources?
• Share
the
way
the
web
does

62. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
• Person,
Organization,
CreativeWork,
etc.
• Match
strings
to
things
• People/Organization
names
–
viaf.org,
etc
• Subjects
–
Library
of
Congress
Phase
2
• Model
what
is
of
interest
to
the
Web
• All
our
data
is
important
to
us
• What
will
draw
people
to
our
resources?
• Share
the
way
the
web
does
• Linked
Data

63. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
• Person,
Organization,
CreativeWork,
etc.
• Match
strings
to
things
• People/Organization
names
–
viaf.org,
etc
• Subjects
–
Library
of
Congress
Phase
2
• Model
what
is
of
interest
to
the
Web
• All
our
data
is
important
to
us
• What
will
draw
people
to
our
resources?
• Share
the
way
the
web
does
• Linked
Data
• Schema.org

64. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
• Person,
Organization,
CreativeWork,
etc.
• Match
strings
to
things
• People/Organization
names
–
viaf.org,
etc
• Subjects
–
Library
of
Congress
Phase
2
• Model
what
is
of
interest
to
the
Web
• All
our
data
is
important
to
us
• What
will
draw
people
to
our
resources?
• Share
the
way
the
web
does
• Linked
Data
• Schema.org
Phase
3

65. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
• Person,
Organization,
CreativeWork,
etc.
• Match
strings
to
things
• People/Organization
names
–
viaf.org,
etc
• Subjects
–
Library
of
Congress
Phase
2
• Model
what
is
of
interest
to
the
Web
• All
our
data
is
important
to
us
• What
will
draw
people
to
our
resources?
• Share
the
way
the
web
does
• Linked
Data
• Schema.org
Phase
3 -­‐
Try
it
out!

68. library
data:
stored
as
records
author location
edition
holding
title
source
classification
publisher
ISBN
date
of
publication

69. library
data:
stored
as
records
person place
author location
edition
holding
title
source
object concept
classification
publisher
ISBN
date
of
publication
organization work

70. person place
object concept
organization work

71. person place
object concept
organization work

73. Google Knowledge Graph

74. Knowledge cards for libraries? Google Knowledge Graph

75. Commercial data stored as entities
person place
object concept
organization work

76. Commercial data stored as entities
person place
object concept
organization work

77. Commercial data stored as entities
person place
object concept
organization work

78. Commercial data stored as entities
person place
FRBR: Work/Expression
object concept
organization work
FRBR: Manifestation

79. Entities
and
library
workflows:
• Knowledge
cards
• Fixes
Discovery
problem
of
“representative
record”
• It’s
what
users
expect
in
discovery

80. Entities
and
library
workflows:
• Improve
Cataloging
data
quality
– Cascading
updates
• A
new
approach
to
cataloging
– Point
and
click
cataloging
– Managing
entities
instead
of
managing
records
• Consistent
with
RDA

81. Günter Grass
Born:
16
October
1927
Gdańsk,
Poland
German
novelist,
poet,
playwright,
illustrator,
graphic
artist,
sculptor
and
recipient
of
the
1999
Nobel
Prize
in
Literature.
Works
Subjects
Germany
|
German
literature
|
Historical
fiction
War
stories
|
Black
humor
|
Fantasy
Quotes
“Even
bad
books
are
books
and
therefore
sacred.”—The
Find
Günter
Grass
works
at:
Libraries
near
me
|
Online
Retailers
Tin
Drum

82. Günter Grass
Born:
16
October
1927
Gdańsk,
Poland
German
novelist,
poet,
playwright,
illustrator,
graphic
artist,
sculptor
and
recipient
of
the
1999
Nobel
Prize
in
Literature.
Works
Subjects
Germany
|
German
literature
|
Historical
fiction
War
stories
|
Black
humor
|
Fantasy
Quotes
“Even
bad
books
are
books
and
therefore
sacred.”—The
Find
Günter
Grass
works
at:
Libraries
near
me
|
Online
Retailers
Tin
Drum
MARC
RECORD

83. Entities
and
library
workflows:
Cataloging
The Tin Drum
Summary:
Acclaimed
as
the
greatest
German
novel
since
the
end
of
World
War
II.
The
Tin
Drum
is
the
story
of
thirty
year
old
Oskar
Matzerath
who
has
lived
through
the
long
Nazi
nightmare
and
who
is
being
held
in
a
mental
institution.
Subjects
Germany
-­‐
History
|
German
literature
|
Political
fiction
Borrowing
Options
Ebooks
|
Printed
Books
|
Audio
Books
Other
Languages
!

84. Entities
and
library
workflows:
Cataloging
The Tin Drum
Summary:
Acclaimed
as
the
greatest
German
novel
since
the
end
of
World
War
II.
The
Tin
Drum
is
the
story
of
thirty
year
old
Oskar
Matzerath
who
has
lived
through
the
long
Nazi
nightmare
and
who
is
being
held
in
a
mental
institution.
Subjects
Germany
-­‐
History
|
German
literature
|
Political
fiction
Borrowing
Options
Ebooks
|
Printed
Books
|
Audio
Books
Other
Languages
!
Person Editor

85. Entities
and
library
workflows:
Cataloging
The Tin Drum
Person Editor
Person
Summary:
Authority
Acclaimed
as
the
greatest
• Günter Grass
• SameAs ➾
German
novel
since
the
end
of
World
War
II.
The
Tin
Drum
is
the
story
of
thirty
year
old
Oskar
Matzerath
who
has
lived
through
the
long
Nazi
nightmare
and
who
is
being
held
in
a
mental
institution.
Subjects
Germany
-­‐
History
|
German
literature
|
Political
fiction
<dbpedia.org>
Borrowing
Options
Ebooks
|
Printed
Books
|
Audio
Books
Other
Languages
!

86. Entities
and
library
workflows:
Cataloging
The Tin Drum
Person Editor
Person
Summary:
Authority
Acclaimed
as
the
greatest
• Günter Grass
• SameAs ➾
German
novel
since
the
end
of
World
War
II.
The
Tin
Drum
is
the
story
of
thirty
year
old
Oskar
Matzerath
who
has
lived
through
the
long
Nazi
nightmare
and
who
is
being
held
in
a
mental
institution.
Subjects
Germany
-­‐
History
|
German
literature
|
Political
fiction
<dbpedia.org>
Borrowing
Options
Ebooks
|
Printed
Books
|
Audio
Books
Other
Languages
!
LC
NAF

87. Entities
and
library
workflows:
Cataloging
The Tin Drum
Summary:
Acclaimed
as
the
greatest
German
novel
since
the
end
of
World
War
II.
The
Tin
Drum
is
the
story
of
thirty
year
old
Oskar
Matzerath
who
has
lived
through
the
long
Nazi
nightmare
and
who
is
being
held
in
a
mental
institution.
Subjects
Germany
-­‐
History
|
German
literature
|
Political
fiction
Borrowing
Options
Ebooks
|
Printed
Books
|
Audio
Books
Other
Languages
!

88. Entities
and
library
workflows:
Cataloging
The Tin Drum
Summary:
Acclaimed
as
the
greatest
German
novel
since
the
end
of
World
War
II.
The
Tin
Drum
is
the
story
of
thirty
year
old
Oskar
Matzerath
who
has
lived
through
the
long
Nazi
nightmare
and
who
is
being
held
in
a
mental
institution.
Subjects
Germany
-­‐
History
|
German
literature
|
Political
fiction
Borrowing
Options
Ebooks
|
Printed
Books
|
Audio
Books
Other
Languages
!
Work Editor

89. Entities
and
library
workflows:
Cataloging
The Tin Drum
Work Editor
Work
Authority
Summary:
Acclaimed
as
the
greatest
German
novel
since
the
end
of
World
War
II.
• Title
The
Tin
Drum
is
the
story
of
thirty
year
old
Oskar
Matzerath
who
has
lived
through
the
long
Nazi
nightmare
and
who
is
being
held
in
• Creator a
mental
institution.
➾ <Person>
Subjects
Germany
-­‐
History
|
German
literature
|
Political
fiction
Borrowing
Options
Ebooks
|
Printed
Books
|
Audio
Books
Other
Languages
!

90. Entities
and
library
workflows:
The Tin Drum
Work Editor
Summary:
Acclaimed
as
the
greatest
German
novel
since
the
end
of
World
War
II.
The
Tin
Drum
is
the
story
of
thirty
year
old
Oskar
Matzerath
who
has
lived
through
the
long
Nazi
nightmare
and
who
is
being
held
in
a
mental
institution.
Germany
-­‐
History
|
German
literature
|
Political
fiction
Borrowing
Options
Ebooks
|
Printed
Expression
Books
|
Audio
Books
Cataloging
Subjects
Other
Languages
!
Manifestation
1
Manifestation
2 Manifestation
3
Cascading
Updates
Work
Authority
• Title
• Creator ➾ <Person>

91. Entities
and
library
workflows:
The Tin Drum
Work Editor
Summary:
Acclaimed
as
the
greatest
German
novel
since
the
end
of
World
War
II.
The
Tin
Drum
is
the
story
of
thirty
year
old
Oskar
Matzerath
who
has
lived
through
the
long
Nazi
nightmare
and
who
is
being
held
in
a
mental
institution.
Germany
-­‐
History
|
German
literature
|
Political
fiction
Borrowing
Options
Ebooks
|
Printed
Expression
Books
|
Audio
Books
Cataloging
Subjects
Other
Languages
!
Manifestation
1
Manifestation
2 Manifestation
3
MARC21
Output
Cascading
Updates
Work
Authority
• Title
• Creator ➾ <Person>

92. Entities
and
library
workflows:
Other
applications

93. Entities
and
library
workflows:
Other
applications
• Interlibrary
Loan
– Borrow
at
the
Work
level
– Manifestations/Items
are
detail

94. Entities
and
library
workflows:
Other
applications
• Interlibrary
Loan
– Borrow
at
the
Work
level
– Manifestations/Items
are
detail
• Analytics
– Fixes
“holdings
scatter”
across
manifestations

95. Entities
and
library
workflows:
Other
applications
• Interlibrary
Loan
– Borrow
at
the
Work
level
– Manifestations/Items
are
detail
• Analytics
– Fixes
“holdings
scatter”
across
manifestations
• Other
third
party
applications
– Discovery
API
exposes
library
entities

96. Entities
and
library
workflows:
Web
exposure

97. • Be
Entities
and
library
workflows:
Web
exposure
found
on
the
web

98. • Be
Entities
and
library
workflows:
Web
exposure
found
on
the
web
• Connect
your
users
to
unique
content

99. • Be
Entities
and
library
workflows:
Web
exposure
found
on
the
web
• Connect
your
users
to
unique
content
• What
the
web
requires
for
web
exposure
– Aggregation
– Familiar
structures
– A
Network
of
Links
– Entity
Identifiers

100. WorldCat
Entities

101. WorldCat
Entities
Works

102. WorldCat
Entities
Works
• 197+
million
Work
descriptions
and
URIs
• Schema.org
• RDF
Data
formats
–
RDF/XML,
Turtle,
Triples,
JSON-­‐LD
• Links
to
WorldCat
manifestations
• Links
to
Dewey,
LCSH,
LCNAF,
VIAF,
FAST
• Open
Data
license
• Released
April
2014

108. Bibliographic
Entities
Work Place
Event Concept
Organization Person
Intuitive
searching
Cataloging
Integration
with
the
web
Cascading
updates More
options

109. Bibliographic
Entities -­‐
In
the
Web
of
Data

110. Bibliographic
Entities -­‐
In
the
Web
of
Data
person place
object concept
organization work

111. Bibliographic
Entities -­‐
In
the
Web
of
Data
person place
object concept
organization work
Entity
Based
Data
Architecture…

112. What
About
Linked
Data?
https://www.flickr.com/photos/rileyroxx/169900848/

113. WhWahatt
Aabbouot
uLitn
kLedin
ked
Data?
Data?
Yeah!
–
what
about
Linked
Data?
I
thought
Linked
Data
was
going
to
solve
all
our
problems!
https://www.flickr.com/photos/rileyroxx/169900848/

114. Linked
Data

115. • A
Linked
Data
Technology
• Standard
on
the
Web
–
RDF,
URIs,
Vocabularies
• Identifying
and
Linking
resources
on
the
Web
• Important
powerful
enabling
technology

116. • A
Linked
Data
Technology
• Standard
on
the
Web
–
RDF,
URIs,
Vocabularies
• Identifying
and
Linking
resources
on
the
Web
• Important
powerful
enabling
technology
• But
only
a
technology…

117. • A
Linked
Data
Technology
• Standard
on
the
Web
–
RDF,
URIs,
Vocabularies
• Identifying
and
Linking
resources
on
the
Web
• Important
powerful
enabling
technology
• But
only
a
technology…
for
the
systems
folks
to
worry
about

118. • A
Linked
Data
Technology
• Standard
on
the
Web
–
RDF,
URIs,
Vocabularies
• Identifying
and
Linking
resources
on
the
Web
• Important
powerful
enabling
technology
• But
only
a
technology…
for
the
systems
folks
to
worry
about
• Real
benefits
flow
from:
Entity
Based
Data
Architecture

119. • A
Linked
Data
Technology
• Standard
on
the
Web
–
RDF,
URIs,
Vocabularies
• Identifying
and
Linking
resources
on
the
Web
• Important
powerful
enabling
technology
• But
only
a
technology…
for
the
systems
folks
to
worry
about
• Real
benefits
flow
from:
Entity
Based
Data
Architecture
Powered
by
Linked
Data

120. Entity
Based
Data

121. Entity
Based
Data
on
the
Web

122. Entity
Based
Data
on
the
Web

123. Entity
Based
Data
on
the
Web

124. Entity
Based
Data
on
the
Web

125. Entity
Based
Data
on
the
Web
Knowledge
Graphs

126. Entity
Based
Data
on
the
Web
Knowledge
Graphs

127. Entity
Based
Data
on
the
Web
Knowledge
Graphs

128. Entity
Based
Data
on
the
Web
Knowledge
Graphs

129. Entity
Based
Data
on
the
Web
Knowledge
Graphs
Semantic
Search

130. Why
is
the
Web
Adopting
This?

131. Why
is
the
Web
Adopting
This?
(Entities,
Semantic
Search,
Linked
Data)

132. Why
is
the
Web
Adopting
This?
(Entities,
Semantic
Search,
Linked
Data)
• To
get
their
products/resources
in
front
of
users
- Next
Generation
SEO

133. Why
is
the
Web
Adopting
This?
(Entities,
Semantic
Search,
Linked
Data)
• To
get
their
products/resources
in
front
of
users
- Next
Generation
SEO
• It
is
a
shared
approach
from
the
Search
Engines
- But
not
exclusive
to
them

135. Syndication
For
Libraries

136. Syndication
For
Libraries
• Aggregate
to
a
central
site
- National
Library,
Consortia,
WorldCat.org

137. Syndication
For
Libraries
• Aggregate
to
a
central
site
- National
Library,
Consortia,
WorldCat.org
• Publish
details
to
syndication
partners
- WorldCat:
Amazon,
Google
Scholar,
EasyBib,
EBSCO,
OpenLibrary,
FindMyLibrary,
RedLaser,
Yelp,
…

138. Syndication
For
Libraries
• Aggregate
to
a
central
site
- National
Library,
Consortia,
WorldCat.org
• Publish
details
to
syndication
partners
- WorldCat:
Amazon,
Google
Scholar,
EasyBib,
EBSCO,
OpenLibrary,
FindMyLibrary,
RedLaser,
Yelp,
…
• Links
from
aggregators
to
individual
libraries
- Find
in
a
library

139. Syndication
For
Libraries
• Aggregate
to
a
central
site
- National
Library,
Consortia,
WorldCat.org
• Publish
details
to
syndication
partners
- WorldCat:
June
Amazon,
Google
Scholar,
EasyBib,
EBSCO,
OpenLibrary,
FindMyLibrary,
RedLaser,
Yelp,
…
• Links
Million
from
Million
from
aggregators
to
individual
libraries
- Find
in
a
library
Syndication
WorldCat
Year
to
2013
!
• 77
referrals
partners
• 8.7
to
click-­‐through
libraries

140. Syndication
For
Libraries
• Aggregate
to
a
central
site
- National
Library,
Consortia,
WorldCat.org
• Publish
details
to
syndication
partners
- WorldCat:
Amazon,
Google
Scholar,
EasyBib,
EBSCO,
OpenLibrary,
FindMyLibrary,
RedLaser,
Yelp,
…
• Links
from
aggregators
to
individual
libraries
- Find
in
a
library
Today

141. Syndication
For
Libraries
• Aggregate
to
a
central
site
- National
Library,
Consortia,
WorldCat.org
• Publish
details
to
syndication
partners
- WorldCat:
Amazon,
Google
Scholar,
EasyBib,
EBSCO,
OpenLibrary,
FindMyLibrary,
RedLaser,
Yelp,
…
• Links
from
aggregators
to
individual
libraries
- Find
in
a
library
Today
Efficient
but
indirect

142. Syndication
For
Libraries

143. Syndication
For
Libraries
On
the
Web
of
Data

144. Syndication
For
Libraries
• Individual
On
the
Web
of
Data
libraries
publish
resource
data

145. Syndication
For
Libraries
• Individual
On
the
Web
of
Data
libraries
publish
resource
data
- Linked
Data
in
local
discovery
interfaces

146. Syndication
For
Libraries
• Individual
On
the
Web
of
Data
libraries
publish
resource
data
- Linked
Data
in
local
discovery
interfaces
- Links
to
authoritative
hubs
–
set
global
context
• VIAF,
LoC,
WorldCat
Works,
…

147. Syndication
For
Libraries
• Individual
On
the
Web
of
Data
libraries
publish
resource
data
- Linked
Data
in
local
discovery
interfaces
- Links
to
authoritative
hubs
–
set
global
context
• VIAF,
LoC,
WorldCat
Works,
…
• Recognized
and
identified
on
the
Web

148. Syndication
For
Libraries
• Individual
On
the
Web
of
Data
libraries
publish
resource
data
- Linked
Data
in
local
discovery
interfaces
- Links
to
authoritative
hubs
–
set
global
context
• VIAF,
LoC,
WorldCat
Works,
…
• Recognized
and
identified
on
the
Web
- Google,
Bing,
Yahoo!,
Yandex,
etc.
- Where
our
users
are!

149. Syndication
For
Libraries
• Individual
On
the
Web
of
Data
libraries
publish
resource
data
- Linked
Data
in
local
discovery
interfaces
- Links
to
authoritative
hubs
–
set
global
context
• VIAF,
LoC,
WorldCat
Works,
…
• Recognized
and
identified
on
the
Web
- Google,
Bing,
Yahoo!,
Yandex,
etc.
- Where
our
users
are!
• Users
referred
directly
to
resources
in
the
library

150. Syndication
For
Libraries
• Individual
On
the
Web
of
Data
libraries
publish
resource
data
- Linked
Data
in
local
discovery
interfaces
- Links
to
authoritative
hubs
–
set
global
context
• VIAF,
LoC,
WorldCat
Works,
…
• Recognized
and
identified
on
the
Web
- Google,
Bing,
Yahoo!,
Yandex,
etc.
- Where
our
users
are!
• Users
referred
directly
to
resources
in
the
library
Direct
and
Effective

151. Syndication
For
Libraries
• Individual
On
the
Web
of
Data
libraries
publish
resource
data
- Linked
Data
in
local
discovery
interfaces
- Links
to
authoritative
hubs
–
set
global
context
• VIAF,
LoC,
WorldCat
Works,
…
• Recognized
and
identified
on
the
Web
- Google,
Bing,
Yahoo!,
Yandex,
etc.
- Where
our
users
are!
• Users
referred
directly
to
resources
in
the
library
Direct
and
Effective

152. Syndication
For
Libraries
• Individual
On
the
Web
of
Data
libraries
publish
resource
data
- Linked
Data
in
local
discovery
interfaces
- Links
to
authoritative
hubs
–
set
global
context
• VIAF,
LoC,
WorldCat
Works,
…
• Recognized
and
identified
on
the
Web
- Google,
Bing,
Yahoo!,
Yandex,
etc.
- Where
our
users
are!
• Users
referred
directly
to
resources
in
the
library
Direct
and
Effective

153. Tell them about our resources…
http://www.flickr.com/photos/boston_public_library/6220572487

154. Tell them about our resources…
…using their language and methods
http://www.flickr.com/photos/boston_public_library/6220572487

156. Has it been a waste of time?

157. Has it been a waste of time?
Am I saying….

158. Has it been a waste of time?
Am I saying….
Throw it all away and use…

159. Has it been a waste of time?
Throw it all away and use…
No!….
Am I saying….

160. Don't throw the baby out with the bath water

161. Don't throw the baby out with the bath water
Sharing
for
discovery
on
the
web
As
part
of
a
Global
Knowledge
Graph

162. Don't throw the baby out with the bath water
Sharing
for
discovery
on
the
web
As
part
of
a
Global
Knowledge
Graph
Entification

163. Don't throw the baby out with the bath water
Sharing
for
discovery
on
the
web
As
part
of
a
Global
Knowledge
Graph
Entification
Identify
the
entities
in
your
data:

164. Don't throw the baby out with the bath water
Sharing
for
discovery
on
the
web
As
part
of
a
Global
Knowledge
Graph
Entification
Identify
the
entities
in
your
data:
• Describe
them
using
appropriate
vocabularies

165. Don't throw the baby out with the bath water
Sharing
for
discovery
on
the
web
As
part
of
a
Global
Knowledge
Graph
Entification
Identify
the
entities
in
your
data:
• Describe
them
using
appropriate
vocabularies
• Describe
the
relationships
between
them

166. Don't throw the baby out with the bath water
Sharing
for
discovery
on
the
web
As
part
of
a
Global
Knowledge
Graph
Entification
Identify
the
entities
in
your
data:
• Describe
them
using
appropriate
vocabularies
• Describe
the
relationships
between
them
• Place
them
in
a
global
context
–
link
to
authoritative
hubs

167. Don't throw the baby out with the bath water
Sharing
for
discovery
on
the
web
As
part
of
a
Global
Knowledge
Graph
Entification
Identify
the
entities
in
your
data:
• Describe
them
using
appropriate
vocabularies
• Describe
the
relationships
between
them
• Place
them
in
a
global
context
–
link
to
authoritative
hubs
• Liberate
the
value
in
your
data!

168. Don't throw the baby out with the bath water
Sharing
for
discovery
on
the
web
As
part
of
a
Global
Knowledge
Graph
Entification
Identify
the
entities
in
your
data:
• Describe
them
using
appropriate
vocabularies
• Describe
the
relationships
between
them
• Place
them
in
a
global
context
–
link
to
authoritative
hubs
• Liberate
the
value
in
your
data!
ENTITIES

169. Don't throw the baby out with the bath water
Sharing
for
discovery
on
the
web
As
part
of
a
Global
Knowledge
Graph
Entification
Identify
the
entities
in
your
data:
• Describe
them
using
appropriate
vocabularies
• Describe
the
relationships
between
them
• Place
them
in
a
global
context
–
link
to
authoritative
hubs
• Liberate
the
value
in
your
data!
And
also
share
them
on
the
web
–
a
job
for
Schema.org
ENTITIES

171. Why
Catalog?

172. Why
Catalog?
So
we
can
find
things

173. Why
Catalog?
So
we
can
find
things
Why
Share
on
the
Web?

174. Why
Catalog?
So
we
can
find
things
Why
Share
on
the
Web?
So
today’s
users
can
find
our
things

175. OCLC
Entity
Based
Data
Strategy

176. OCLC
Entity
Based
Data
Strategy
✓VIAF,
ISNI,
FAST
2010
Publish
Linked
Data

177. OCLC
Entity
Based
Data
Strategy
✓VIAF,
ISNI,
FAST
Publish
Linked
Data
✓WorldCat.org
Linked
Data
Release
2012
–
using
Schema.org
2010

178. OCLC
Entity
Based
Data
Strategy
✓VIAF,
ISNI,
FAST
Publish
Linked
Data
✓WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓Data
mining
of
WorldCat
resources
2010
2012
2013

179. OCLC
Entity
Based
Data
Strategy
✓VIAF,
ISNI,
FAST
Publish
Linked
Data
✓WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓Data
mining
of
WorldCat
resources
✓WorldCat
Works
Released
–
using
Schema.org
2010
2012
2013
2014

180. OCLC
Entity
Based
Data
Strategy
✓VIAF,
ISNI,
FAST
Publish
Linked
Data
✓WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓Data
mining
of
WorldCat
resources
✓WorldCat
Works
Released
–
using
Schema.org
✓Schema.org
added
to
VIAF
RDF
2010
2012
2013
2014

181. OCLC
Entity
Based
Data
Strategy
✓VIAF,
ISNI,
FAST
Publish
Linked
Data
✓WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓Data
mining
of
WorldCat
resources
✓WorldCat
Works
Released
–
using
Schema.org
✓Schema.org
added
to
VIAF
RDF
2010
2012
2013
2014

182. OCLC
Entity
Based
Data
Strategy
✓VIAF,
ISNI,
FAST
Publish
Linked
Data
✓WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓Data
mining
of
WorldCat
resources
✓WorldCat
Works
Released
–
using
Schema.org
✓Schema.org
added
to
VIAF
RDF
2010
2012
2013
2014
➢Application
Integration
➢WorldCat
Discovery
➢Analytics
➢Discovery
API
➢Cataloging
2015

183. OCLC
Entity
Based
Data
Strategy
✓VIAF,
ISNI,
FAST
Publish
Linked
Data
✓WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓Data
mining
of
WorldCat
resources
✓WorldCat
Works
Released
–
using
Schema.org
✓Schema.org
added
to
VIAF
RDF
2010
2012
2014
➢Application
Integration
➢WorldCat
Discovery
➢Analytics
➢Discovery
API
➢Cataloging
2015
➢More
Entities
Released
➢Person
➢Organization
➢Event
➢Concept
2013

184. OCLC
Entity
Based
Data
Strategy
✓VIAF,
ISNI,
FAST
Publish
Linked
Data
✓WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓Data
mining
of
WorldCat
resources
✓WorldCat
Works
Released
–
using
Schema.org
✓Schema.org
added
to
VIAF
RDF
2010
2012
2014
➢Application
Integration
➢WorldCat
Discovery
➢Analytics
➢Discovery
API
➢Cataloging
2015
➢More
Entities
Released
➢Person
➢Organization
➢Event
➢Concept
➢New
Products
➢New
Services
2013
2016

185. OCLC
Entity
Based
Data
Strategy
✓VIAF,
ISNI,
FAST
Publish
Linked
Data
✓WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓Data
mining
of
WorldCat
resources
✓WorldCat
Works
Released
–
using
Schema.org
✓Schema.org
added
to
VIAF
RDF
2010
2012
2014
➢Application
Integration
➢WorldCat
Discovery
➢Analytics
➢Discovery
API
➢Cataloging
2015
➢More
Entities
Released
➢Person
➢Organization
➢Event
➢Concept
➢New
Products
➢Continuing
Evangelism
➢New
Services
➢Continuing
Innovation
2013
2016

186. OCLC
Entity
Based
Data
Strategy
✓VIAF,
ISNI,
FAST
Publish
Linked
Data
✓WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓Data
mining
of
WorldCat
resources
✓WorldCat
Works
Released
–
using
Schema.org
✓Schema.org
added
to
VIAF
RDF
2010
2012
2014
➢Application
Integration
➢WorldCat
Discovery
➢Analytics
➢Discovery
API
➢Cataloging
2015
➢More
Entities
Released
➢Person
➢Organization
➢Event
➢Concept
➢New
Products
➢Continuing
Evangelism
➢New
Services
➢Continuing
Innovation
2013
2016

187. OCLC
Entity
Based
Data
Strategy
✓VIAF,
ISNI,
FAST
Publish
Linked
Data
✓WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓Data
mining
of
WorldCat
resources
✓WorldCat
Works
Released
–
using
Schema.org
✓Schema.org
added
to
VIAF
RDF
2010
2012
2014
➢Application
Integration
➢WorldCat
Discovery
➢Analytics
➢Discovery
API
➢Cataloging
2015
➢More
Entities
Released
➢Person
➢Organization
➢Event
➢Concept
➢New
Products
➢Continuing
Evangelism
➢New
Services
➢Continuing
Innovation
2013
2016

188. OCLC
Entity
Based
Data
Strategy
✓VIAF,
ISNI,
FAST
Publish
Linked
Data
✓WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓Data
mining
of
WorldCat
resources
✓WorldCat
Works
Released
–
using
Schema.org
✓Schema.org
added
to
VIAF
RDF
2010
2012
2014
➢Application
Integration
➢WorldCat
Discovery
➢Analytics
➢Discovery
API
➢Cataloging
2015
➢More
Entities
Released
➢Person
➢Organization
➢Event
➢Concept
➢New
Products
➢Continuing
Evangelism
➢New
Services
➢Continuing
Innovation
2013
2016

189. OCLC
Entity
Based
Data
Strategy
✓VIAF,
ISNI,
FAST
Publish
Linked
Data
✓WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓Data
mining
of
WorldCat
resources
✓WorldCat
Works
Released
–
using
Schema.org
✓Schema.org
added
to
VIAF
RDF
2010
2012
2014
➢Application
Integration
➢WorldCat
Discovery
➢Analytics
➢Discovery
API
➢Cataloging
2015
➢More
Entities
Released
➢Person
➢Organization
➢Event
➢Concept
➢New
Products
➢Continuing
Evangelism
➢New
Services
➢Continuing
Innovation
2013
2016

190. OCLC
Entity
Based
Data
Strategy
✓VIAF,
ISNI,
FAST
Publish
Linked
Data
✓WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓Data
mining
of
WorldCat
resources
✓WorldCat
Works
Released
–
using
Schema.org
✓Schema.org
added
to
VIAF
RDF
2010
2012
2014
➢Application
Integration
➢WorldCat
Discovery
➢Analytics
➢Discovery
API
➢Cataloging
2015
➢More
Entities
Released
➢Person
➢Organization
➢Event
➢Concept
➢New
Products
➢Continuing
Evangelism
➢New
Services
➢Continuing
Innovation
2013
2016

191. OCLC
Entity
Based
Data
Strategy
✓VIAF,
ISNI,
FAST
Publish
Linked
Data
✓WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓Data
mining
of
WorldCat
resources
✓WorldCat
Works
Released
–
using
Schema.org
✓Schema.org
added
to
VIAF
RDF
2010
2012
2014
➢Application
Integration
➢WorldCat
Discovery
➢Analytics
➢Discovery
API
➢Cataloging
2015
➢More
Entities
Released
➢Person
➢Organization
➢Event
➢Concept
➢New
Products
➢Continuing
Evangelism
➢New
Services
➢Continuing
Innovation
2013
2016

192. OCLC
Entity
Based
Data
Strategy
✓VIAF,
ISNI,
FAST
Publish
Linked
Data
✓WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓Data
mining
of
WorldCat
resources
✓WorldCat
Works
Released
–
using
Schema.org
✓Schema.org
added
to
VIAF
RDF
2010
2012
2014
➢Application
Integration
➢WorldCat
Discovery
➢Analytics
➢Discovery
API
➢Cataloging
2015
➢More
Entities
Released
➢Person
➢Organization
➢Event
➢Concept
➢New
Products
➢Continuing
Evangelism
➢New
Services
➢Continuing
Innovation
2013
2016

193. Where
are
our
users?

194. Where
are
our
users?

195. 6 excellent SWIB's
!
Many great LD Projects

196. 6 excellent SWIB's
but
!
Many great LD Projects

197. 6 excellent SWIB's
but
!
Many great LD Projects
If
users
can't
discover
our
resources

198. 6 excellent SWIB's
but
!
Many great LD Projects
If
users
can't
discover
our
resources
What
is
the
point?

199. 6 excellent SWIB's
!
Many great LD Projects

200. 6 excellent SWIB's
!
Many great LD Projects
5

201. 7 5
6 excellent SWIB's
!
more
y
Many great LD Projects

202. 7 5
6 excellent SWIB's
!
more
y
Many great LD Projects

203. Entification:
The
Route
to
Useful
Library
Data
Richard
Wallis
Technology
Evangelist
@rjw

204. Entification:
The
Route
to
Useful
Library
Data
Richard
Wallis
Technology
Evangelist
@rjw
http://slideshare.net/rjw