This document discusses a two-phase approach to introducing linked data from WorldCat records. Phase 1 involves mining existing MARC records to identify entities like persons, organizations, and subjects, and linking those strings to controlled vocabularies. Phase 2 models the data using schemas like Schema.org that are of interest to the web in order to share resources via linked data. The goal is to draw people to library resources by sharing in a web-native linked data format.

1. DCMI
Conference
Austin,
TX
October
10th
2014
Extending
Schema.org
Richard Wallis
Technology Evangelist
@rjw

2. Representing the collective collection
in WorldCat Discovery and WorldCat.org
As of 11 June 2013

3. Representing the collective collection
in WorldCat Discovery and WorldCat.org
322+ million
bibliographic records
2+ billion holdings
980million records
38 million items
(Institutional repositories,
Google, HathiTrust, OAIster)
Bibliographic
information in
WorldCat
Licensed digital
content/articles in
library collections
Digitized
local library content
As of 11 June 2013

5. Structured
Data
Objectives

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

21. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects,
etc
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood
• Web
standard
data
access
patterns
• Common
vocabularies
on
the
web
• 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
–
15%
of
web
sites

22. • Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects,
etc
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood
• Web
standard
data
access
patterns
• Common
vocabularies
on
the
web
• 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
–
15%
of
web
sites
fairly
y

23. • Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects,
etc
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood
• Web
standard
data
access
patterns
• Common
vocabularies
on
the
web
• 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
–
15%
of
web
sites
fairly
y

25. Introducing
Linked
Data
Phase
1

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

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

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

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

30. 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

31. 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

32. 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

33. 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

34. 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

35. 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

36. 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?

37. 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

38. 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

39. 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

40. 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

41. 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!

45. Gaps
in
Schema.org
coverage

46. What
to
do
about
Gaps
in
Schema.org
coverage

47. What
to
do
about
Gaps
in
Schema.org
coverage

48. What
to
do
about
Gaps
in
Schema.org
coverage

49. What
to
do
about
Gaps
in
Schema.org
coverage

50. What
to
do
about
Gaps
in
Schema.org
coverage
Lobby
them
for
updates
/
extensions

51. What
to
do
about
Gaps
in
Schema.org
coverage
Lobby
them
for
updates
/
extensions

52. What
to
do
about
Gaps
in
Schema.org
coverage
Lobby
them
for
updates
/
extensions

53. What
to
do
about
Gaps
in
Schema.org
coverage
Lobby
them
for
updates
/
extensions

54. What
to
do
about
Gaps
in
Schema.org
coverage
Lobby
them
for
updates
/
extensions
http://lists.w3.org/Archives/Public/public-­‐vocabs
http://www.w3.org/wiki/WebSchemas

55. What
to
do
about
Gaps
in
Schema.org
coverage
Lobby
them
for
updates
/
extensions
http://lists.w3.org/Archives/Public/public-­‐vocabs
http://www.w3.org/wiki/WebSchemas
…
or
form
a
group
to
do
it

56. What
to
do
about
Gaps
in
Schema.org
coverage
…
or
form
a
group
to
do
it

57. What
to
do
about
Gaps
in
Schema.org
coverage

58. What
to
do
about
Gaps
in
Schema.org
coverage
http://www.w3.org/community/schemabibex

59. What
to
do
about
but Gaps
in
Schema.org
coverage

60. What
to
do
about
but Gaps
in
Schema.org
coverage
Not
everything
is
appropriate
for
Schema.org

61. What
to
do
about
but Gaps
in
Schema.org
coverage
Not
everything
is
appropriate
for
Schema.org
So
I’ll
create
my
own
vocabulary
then!

62. I’ll
create
my
own
vocabulary

63. I’ll
create
my
own
vocabulary

64. I’ll
create
my
own
vocabulary
But doesn’t that loose all the
benefits of Schema?

65. I’ll
create
my
own
vocabulary
But doesn’t that loose all the
benefits of Schema?
Not
if
it
is
an
extension
vocabulary
??
Just
add
your
terms
with
Schema
at
the
core

66. I’ll
create
my
own
vocabulary
But doesn’t that loose all the
benefits of Schema?
Not
if
it
is
an
extension
vocabulary
Just
add
your
terms
with
Schema
at
the
core Like frosting
on a cake?

67. Frosting
on
the
Schema.org
Cake
BiblioGraph.net

71. Extension
Vocabulary

72. Extension
Vocabulary
• Adds
your
domain
specifics

73. Extension
Vocabulary
• Adds
your
domain
specifics
• Mostly
Schema.org

74. Extension
Vocabulary
• Adds
your
domain
specifics
• Mostly
Schema.org
• Only
need
to
fill
in
the
gaps

75. Extension
Vocabulary
• Adds
your
domain
specifics
• Mostly
Schema.org
• Only
need
to
fill
in
the
gaps
• Search
engines
will
understand
most

76. Extension
Vocabulary
• Adds
your
domain
specifics
• Mostly
Schema.org
• Only
need
to
fill
in
the
gaps
• Search
engines
will
understand
most
• Familiar

77. Extension
Vocabulary
• Adds
your
domain
specifics
• Mostly
Schema.org
• Only
need
to
fill
in
the
gaps
• Search
engines
will
understand
most
• Familiar
• Eases
adoption

78. Extension
Vocabulary
• Adds
your
domain
specifics
• Mostly
Schema.org
• Only
need
to
fill
in
the
gaps
• Search
engines
will
understand
most
• Familiar
• Eases
adoption
• Minimal
namespaces

79. Extension
Vocabulary
• Adds
your
domain
specifics
• Mostly
Schema.org
• Only
need
to
fill
in
the
gaps
• Search
engines
will
understand
most
• Familiar
• Eases
adoption
• Minimal
namespaces
• Eases
adoption

80. Extension
Vocabulary
• Adds
your
domain
specifics
• Mostly
Schema.org
• Only
need
to
fill
in
the
gaps
• Search
engines
will
understand
most
• Familiar
• Eases
adoption
• Minimal
namespaces
• Eases
adoption
• Repeatable
pattern

81. Namespace
Proliferation

82. Namespace
Proliferation
The
Enemy
of
Adoption

83. Namespace
Proliferation
The
Enemy
of
Adoption

84. Namespace
Proliferation
The
Enemy
of
Adoption

85. Namespace
Proliferation
The
Enemy
of
Adoption
bits
Which
I
can
use?

86. Namespace
Proliferation
The
Enemy
of
Adoption
bits
Which
I
can
use?
bits
Which
I
can’t
use?

87. Namespace
Proliferation
The
Enemy
of
Adoption
bits
Which
I
can
use?
bits
Which
I
can’t
use?
is
This
overwhelming!
move
I’ll
….
on

88. @prefix
schema:
<http://schema.org/>
@prefix
bgn:
<http://bibliograph.net/>
!!!!!

89. @prefix
schema:
<http://schema.org/>
@prefix
bgn:
<http://bibliograph.net/>
!!!!!
• Not
as
good
as
a
single
namespace

90. @prefix
schema:
<http://schema.org/>
@prefix
bgn:
<http://bibliograph.net/>
!!!!!
• Not
as
good
as
a
single
namespace
• But
next
best
thing
and
understandable
by:

91. @prefix
schema:
<http://schema.org/>
@prefix
bgn:
<http://bibliograph.net/>
!!!!!
• Not
as
good
as
a
single
namespace
• But
next
best
thing
and
understandable
by:
• my
domain

92. @prefix
schema:
<http://schema.org/>
@prefix
bgn:
<http://bibliograph.net/>
!!!!!
• Not
as
good
as
a
single
namespace
• But
next
best
thing
and
understandable
by:
• my
domain
• the
rest
of
the
world
-­‐
mostly

93. @prefix
schema:
<http://schema.org/>
@prefix
bgn:
<http://bibliograph.net/>
!!!!!
• Not
as
good
as
a
single
namespace
• But
next
best
thing
and
understandable
by:
• my
domain
• the
rest
of
the
world
-­‐
mostly

95. An
extension
to
Schema.org…

96. An
extension
to
Schema.org…
• to
fill
in
some
[temporary
?]
domain
specific
gaps

97. An
extension
to
Schema.org…
• to
fill
in
some
[temporary
?]
domain
specific
gaps
• light
weight
access
to
rich
data

98. An
extension
to
Schema.org…
• to
fill
in
some
[temporary
?]
domain
specific
gaps
• light
weight
access
to
rich
data
• domain
specific
extensions
in
single
namespace

99. An
extension
to
Schema.org…
• to
fill
in
some
[temporary
?]
domain
specific
gaps
• light
weight
access
to
rich
data
• domain
specific
extensions
in
single
namespace
• currently
used
by
VIAF
and
WorldCat
linked
data

100. An
extension
to
Schema.org…
• to
fill
in
some
[temporary
?]
domain
specific
gaps
• light
weight
access
to
rich
data
• domain
specific
extensions
in
single
namespace
• currently
used
by
VIAF
and
WorldCat
linked
data
An
extension
to
Schema.org…

101. An
extension
to
Schema.org…
• to
fill
in
some
[temporary
?]
domain
specific
gaps
• light
weight
access
to
rich
data
• domain
specific
extensions
in
single
namespace
• currently
used
by
VIAF
and
WorldCat
linked
data
An
extension
to
Schema.org…
• not
a
standalone
vocabulary
–
needs
Schema.org

102. An
extension
to
Schema.org…
• to
fill
in
some
[temporary
?]
domain
specific
gaps
• light
weight
access
to
rich
data
• domain
specific
extensions
in
single
namespace
• currently
used
by
VIAF
and
WorldCat
linked
data
An
extension
to
Schema.org…
• not
a
standalone
vocabulary
–
needs
Schema.org
• not
a
replacement
for
rich
domain
specific
vocab(s)

103. An
extension
to
Schema.org…
• to
fill
in
some
[temporary
?]
domain
specific
gaps
• light
weight
access
to
rich
data
• domain
specific
extensions
in
single
namespace
• currently
used
by
VIAF
and
WorldCat
linked
data
An
extension
to
Schema.org…
• not
a
standalone
vocabulary
–
needs
Schema.org
• not
a
replacement
for
rich
domain
specific
vocab(s)
• complementary
[rest
of
the
world
friendly]

104. An
extension
to
Schema.org…
• to
fill
in
some
[temporary
?]
domain
specific
gaps
• light
weight
access
to
rich
data
• domain
specific
extensions
in
single
namespace
• currently
used
by
VIAF
and
WorldCat
linked
data
An
extension
to
Schema.org…
• not
a
standalone
vocabulary
–
needs
Schema.org
• not
a
replacement
for
rich
domain
specific
vocab(s)
• complementary
[rest
of
the
world
friendly]
An
extension
to
Schema.org…

105. An
extension
to
Schema.org…
• to
fill
in
some
[temporary
?]
domain
specific
gaps
• light
weight
access
to
rich
data
• domain
specific
extensions
in
single
namespace
• currently
used
by
VIAF
and
WorldCat
linked
data
An
extension
to
Schema.org…
• not
a
standalone
vocabulary
–
needs
Schema.org
• not
a
replacement
for
rich
domain
specific
vocab(s)
• complementary
[rest
of
the
world
friendly]
An
extension
to
Schema.org…
• an
example
of
how
others
might
do
it.

106. OCLC
Entity
Based
Data
Strategy

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

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

109. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
2012
2013

110. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
2012
2013

111. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
✓ Research
&
Design
with
Data
Architecture
Group
2012
2013

112. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
✓ Research
&
Design
with
Data
Architecture
Group
✓ Data
mining
of
WorldCat
resources
2012
2013

113. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
✓ Research
&
Design
with
Data
Architecture
Group
✓ Data
mining
of
WorldCat
resources
✓ WorldCat
Works
Released
2012
2013
2014

114. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
✓ Research
&
Design
with
Data
Architecture
Group
✓ Data
mining
of
WorldCat
resources
✓ WorldCat
Works
Released
2012
2013
2014
➢Application
Integration
➢WorldCat
Discovery
➢Analytics
➢Discovery
API
➢Cataloging
2015

115. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
✓ Research
&
Design
with
Data
Architecture
Group
✓ Data
mining
of
WorldCat
resources
✓ WorldCat
Works
Released
2012
2014
➢Application
Integration
➢WorldCat
Discovery
➢Analytics
➢Discovery
API
➢Cataloging
2015
➢More
Entities
Released
➢Person
➢Organization
➢Event
➢Concept
2013

116. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
✓ Research
&
Design
with
Data
Architecture
Group
✓ Data
mining
of
WorldCat
resources
✓ WorldCat
Works
Released
2012
2014
➢Application
Integration
➢WorldCat
Discovery
➢Analytics
➢Discovery
API
➢Cataloging
2015
➢More
Entities
Released
➢Person
➢Organization
➢Event
➢Concept
➢New
Products
➢New
Services
2013
2016

117. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
✓ Research
&
Design
with
Data
Architecture
Group
✓ Data
mining
of
WorldCat
resources
✓ WorldCat
Works
Released
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

118. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
✓ Research
&
Design
with
Data
Architecture
Group
✓ Data
mining
of
WorldCat
resources
✓ WorldCat
Works
Released
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

119. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
✓ Research
&
Design
with
Data
Architecture
Group
✓ Data
mining
of
WorldCat
resources
✓ WorldCat
Works
Released
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

120. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
✓ Research
&
Design
with
Data
Architecture
Group
✓ Data
mining
of
WorldCat
resources
✓ WorldCat
Works
Released
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

121. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
✓ Research
&
Design
with
Data
Architecture
Group
✓ Data
mining
of
WorldCat
resources
✓ WorldCat
Works
Released
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

122. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
✓ Research
&
Design
with
Data
Architecture
Group
✓ Data
mining
of
WorldCat
resources
✓ WorldCat
Works
Released
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

123. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
✓ Research
&
Design
with
Data
Architecture
Group
✓ Data
mining
of
WorldCat
resources
✓ WorldCat
Works
Released
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

124. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
✓ Research
&
Design
with
Data
Architecture
Group
✓ Data
mining
of
WorldCat
resources
✓ WorldCat
Works
Released
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

125. Structured
Data
Objectives
obvious
Conclusions
• Linked
Data
• RDF
–
RDFa,
RDF/XML,
JSON-­‐LD,
Turtle,
nTriples
• Canonical
URIs
• Schema.org
+
BiblioGraph.net
• Core
widely
adopted
&
understood
–
15%
of
web
sites
fairly
y

126. Structured
Data
Objectives
obvious
Conclusions
• Linked
Data
• RDF
–
RDFa,
RDF/XML,
JSON-­‐LD,
Turtle,
nTriples
• Canonical
URIs
• Schema.org
+
BiblioGraph.net
• Core
widely
adopted
&
understood
–
15%
of
web
sites
fairly
y
Your
• Widely
distributed
&
understood
• Web
standard
data
access
patterns
• Common
vocabularies
on
the
web
• Visibility
in
search
engines

127. Richard
Wallis
Technology
Evangelist
richard.wallis@oclc.org
@rjw
Extending
Schema.org
Explore. Share. Magnify.