Presentation to the BCS & UK Location Group. London 24th November 2011

1. Linked Data
What is just flannel
What skill sets are required?
Richard Wallis
@rjw

3. Leading Semantic Web
Technology

4. 40 Year Rich
Metadata Heritage
Leading Semantic Web
Technology

5. Shared Innovation
Ethos
40 Year Rich
Metadata Heritage
Leading Semantic Web
Technology

8. kasabi.com

10. Lin
ked
Da
ta
A Silver Bullet?

11. Linked Data

12. Linked Data
... about using the Web to connect related data
that wasn't previously linked...

13. Linked Data
... about using the Web to connect related data
that wasn't previously linked...
... Linked Data as "a term used to describe a
recommended best practice for exposing, sharing, and
connecting pieces of data, information, and knowledge...
... on the Semantic Web

14. Linked Data
... about using the Web to connect related data
that wasn't previously linked...
... Linked Data as "a term used to describe a
recommended best practice for exposing, sharing, and
connecting pieces of data, information, and knowledge...
... on the Semantic Web
recommended best practice

15. Semantic Web

16. Semantic Web

17. Semantic Web
A i
e s s
p r
a d
a b
o t
G Flying Cars Technology

18. Linked Data

19. Linked Data
Built on Semantic Web Standards

20. Linked Data
Built on Semantic Web Standards
All about identifying and linking things
Thi ng

21. Identifying things

22. Identifying things

23. Identifying things
1969-059A

24. Identifying things
1969-059A
spacecraft/1969-059A

25. Identifying things
1969-059A
spacecraft/1969-059A
nasa.dataincubator.org/spacecraft/1969-059A

26. Identifying things
with URIs
1969-059A
spacecraft/1969-059A
nasa.dataincubator.org/spacecraft/1969-059A
http://nasa.dataincubator.org/spacecraft/1969-059A

27. Things have attributes
http://nasa.dataincubator.org/spacecraft/1969-059A

28. Things have attributes
http://nasa.dataincubator.org/spacecraft/1969-059A
28801.0kg

29. Things have attributes
http://nasa.dataincubator.org/spacecraft/1969-059A
28801.0kg
Columbia

30. Things have attributes
http://nasa.dataincubator.org/spacecraft/1969-059A
28801.0kg
Columbia
Apollo 11 CSM
CSM-107
United States
Cape Canaveral
Saturn 5

31. http://nasa.dataincubator.org/spacecraft/1969-059A

32. http://nasa.dataincubator.org/spacecraft/1969-059A
.../spacecraft/
1969-059A

33. .../spacecraft/
http://nasa.dataincubator.org/spacecraft/1969-059A
1969-059A

34. 28801.0
mass .../spacecraft/
http://nasa.dataincubator.org/spacecraft/1969-059A
1969-059A

35. Apollo 11 CSM
28801.0
name
mass .../spacecraft/
http://nasa.dataincubator.org/spacecraft/1969-059A
1969-059A

36. Apollo 11 CSM Columbia
name
28801.0 name
mass .../spacecraft/
http://nasa.dataincubator.org/spacecraft/1969-059A
1969-059A

37. Apollo 11 CSM Columbia
name
28801.0 name
mass .../spacecraft/
http://nasa.dataincubator.org/spacecraft/1969-059A
1969-059A
launch
../launch/1969-059

38. Apollo 11 CSM Columbia
name
28801.0 name
mass .../spacecraft/ 16 July 1969
http://nasa.dataincubator.org/spacecraft/1969-059A
1969-059A
launch
date
../launch/1969-059

39. Apollo 11 CSM Columbia
name
28801.0 name
mass .../spacecraft/ 16 July 1969
http://nasa.dataincubator.org/spacecraft/1969-059A
1969-059A
launch
date
../launch/1969-059
site
../cape
canaveral

40. Apollo 11 CSM Columbia
name
28801.0 name
mass .../spacecraft/ 16 July 1969
http://nasa.dataincubator.org/spacecraft/1969-059A
1969-059A
launch
date
../launch/1969-059
site
../cape
canaveral lat
N 28° 27' 31''

41. Apollo 11 CSM Columbia
name
28801.0 name
mass .../spacecraft/ 16 July 1969
http://nasa.dataincubator.org/spacecraft/1969-059A
1969-059A
launch
date
../launch/1969-059
site
../cape
canaveral lat
N 28° 27' 31''
long
W 80° 31' 59''

42. Apollo 11 CSM Columbia
name
28801.0 name
mass .../spacecraft/ 16 July 1969
http://nasa.dataincubator.org/spacecraft/1969-059A
1969-059A
launch
date
../launch/1969-059
<../1969-059A> mass 28801.0 . site
<../1969-059A> name “Apollo 11 CSM” .
<../1969-059A> name “Columbia” .
../cape
<../1969-059A> launch <../launch/1969-059> . canaveral lat
<../launch/1969-059> date 1969-07-16 .
<../launch/1969-059> site <..site/capecanaveral> . N 28° 27' 31''
long
<..site/capecanaveral> lat “N 28° 27' 31''” .
<..site/capecanaveral> long “W 80° 31' 59''” . W 80° 31' 59''

43. RDF
Apollo 11 CSM Columbia
name
28801.0 name
mass .../spacecraft/ 16 July 1969
http://nasa.dataincubator.org/spacecraft/1969-059A
1969-059A
launch
date
../launch/1969-059
<../1969-059A> mass 28801.0 . site
<../1969-059A> name “Apollo 11 CSM” .
<../1969-059A> name “Columbia” .
../cape
<../1969-059A> launch <../launch/1969-059> . canaveral lat
<../launch/1969-059> date 1969-07-16 .
<../launch/1969-059> site <..site/capecanaveral> . N 28° 27' 31''
long
<..site/capecanaveral> lat “N 28° 27' 31''” .
<..site/capecanaveral> long “W 80° 31' 59''” . W 80° 31' 59''

44. RDF Triple

45. RDF Triple
Thing attribute value

46. RDF Triple
Thing property value

47. RDF Triple
Thing property value
Thing property Thing

48. RDF Triple
Thing property value
Thing property Thing
../person/A

49. RDF Triple
Thing property value
Thing property Thing
../person/A hasParent

50. RDF Triple
Thing property value
Thing property Thing
../person/A hasParent ../person/B

51. RDF Triple
Thing property value
Thing property Thing
../person/A hasParent ../person/B
../person/B

52. RDF Triple
Thing property value
Thing property Thing
../person/A hasParent ../person/B
../person/B name

53. RDF Triple
Thing property value
Thing property Thing
../person/A hasParent ../person/B
../person/B name “Eric”

54. RDF Triple
Merging
Thing property value
Thing property Thing
../person/A hasParent ../person/B
../person/B name “Eric”

55. RDF Triple
Merging
Thing property value
Thing property Thing
../person/A hasParent ../person/B name “Eric”

56. RDF Triple
Merging

57. RDF Triple
Merging
The same identifier in a different place
is still identifying the same thing

58. Linked Data Principles

59. Linked Data Principles
1. Use URIs as names for things

60. Linked Data Principles
1. Use URIs as names for things
2. Use HTTP URIs so people can look up those
names

61. Linked Data Principles
1. Use URIs as names for things
2. Use HTTP URIs so people can look up those
names
3. When someone looks up a URI, provide useful
information, using the standards RDF, SPARQL

62. Linked Data Principles
1. Use URIs as names for things
2. Use HTTP URIs so people can look up those
names
3. When someone looks up a URI, provide useful
information, using the standards RDF, SPARQL
4. Include links to other URIs, so that they can
discover more
Tim Berners-Lee - 2006

63. Linked Data Principles

64. Linked Data Principles
1. Identify your things with URIs

65. Linked Data Principles
1. Identify your things with URIs
2. When someone looks up your identifier give
them information in a [Web] standard form

66. Linked Data Principles
1. Identify your things with URIs
2. When someone looks up your identifier give
them information in a [Web] standard form
3. Include links to other things (URIs), so that they
can discover more

67. Linked Data Principles
1. Identify your things with URIs
2. When someone looks up your identifier give
them information in a [Web] standard form
3. Include links to other things (URIs), so that they
can discover more
4. Enable follow-your-nose discovery/navigation
RJW - 2011

81. 80% of data contains location!

82. lo ✗
ts 80% of data contains location!

83. lo ✗
ts 80% of data contains location!
http://mydomain.com/location/London

84. lo ✗
ts 80% of data contains location!
http://mydomain.com/location/London
sameAs

85. lo ✗
ts 80% of data contains location!
http://mydomain.com/location/London sameAs
http://dbpedia.org/resource/London

86. lo ✗
ts 80% of data contains location!
http://mydomain.com/location/London sameAs http://dbpedia.org/resource/London

87. lo ✗
ts 80% of data contains location!
http://mydomain.com/location/London sameAs http://dbpedia.org/resource/London
http://dbpedia.org/resource/London

88. lo ✗
ts 80% of data contains location!
http://mydomain.com/location/London sameAs http://dbpedia.org/resource/London
http://dbpedia.org/resource/London
sameAs

89. lo ✗
ts 80% of data contains location!
http://mydomain.com/location/London sameAs http://dbpedia.org/resource/London
http://dbpedia.org/resource/London sameAs
http://sws.geonames.org/2643743/

90. lo ✗
ts 80% of data contains location!
http://mydomain.com/location/London sameAs http://dbpedia.org/resource/London
http://dbpedia.org/resource/London sameAs http://sws.geonames.org/2643743/

91. lo ✗
ts 80% of data contains location!
http://mydomain.com/location/London sameAs http://dbpedia.org/resource/London
http://dbpedia.org/resource/London sameAs http://sws.geonames.org/2643743/
Sales
Location: London

97. Data Open and/or Linked

98. Data Open and/or Linked
1. Data can be open, while not being linked

99. Data Open and/or Linked
1. Data can be open, while not being linked
2. Data can be linked, while not being open

100. Data Open and/or Linked
1. Data can be open, while not being linked
2. Data can be linked, while not being open
3. Data which is both open and linked is
increasingly viable

101. Data Open and/or Linked
1. Data can be open, while not being linked
2. Data can be linked, while not being open
3. Data which is both open and linked is
increasingly viable
4. The Semantic Web can only function with data
which is both open and linked
Paul Walk - UKLON

102. Putting the theory in to practice
http://www.flickr.com/photos/stuartpilbrow/3449993951

103. Putting the theory in to practice
What do I need to know?
http://www.flickr.com/photos/stuartpilbrow/3449993951

104. Putting the theory in to practice
What do I need to know?
What skills are needed?
http://www.flickr.com/photos/stuartpilbrow/3449993951

105. Linked Data
What do I need to know?

106. Linked Data
What do I need to know?
• Globally distributed / adopted

107. Linked Data
What do I need to know?
• Globally distributed / adopted
• Still evolving

108. Linked Data
What do I need to know?
• Globally distributed / adopted
• Still evolving
• Built on Web standards

109. Linked Data
What do I need to know?
• Globally distributed / adopted
• Still evolving
• Built on Web standards
• Recommended best practice

110. Linked Data
What do I need to know?
• Globally distributed / adopted
• Still evolving
• Built on Web standards
• Recommended best practice
• Low barrier to data

111. Linked Data
What do I need to know?
• Globally distributed / adopted
• Still evolving
• Built on Web standards
• Recommended best practice
• Low barrier to [other people’s] data

112. Linked Data
What do I need to know?
• Globally distributed / adopted
• Still evolving
• Built on Web standards
• Recommended best practice
• Low barrier to [other people’s] data
• Integration without ‘need’ for coordination

113. Linked Data
What do I need to know?
• Globally distributed / adopted
• Still evolving
• Built on Web standards
• Recommended best practice
• Low barrier to [other people’s] data
• Integration without ‘need’ for coordination
• Follow-your-nose discovery/navigation

114. Linked Data

115. Linked Data
What skills are needed?

116. Linked Data
What skills are needed?
• Domain experience/understanding

117. Linked Data
What skills are needed?
• Domain experience/understanding
• Appreciation of Linked Data principles

118. Linked Data
What skills are needed?
• Domain experience/understanding
• Appreciation of Linked Data principles
• Guidance from experience

119. Linked Data
What skills are needed?
• Domain experience/understanding
• Appreciation of Linked Data principles
• Guidance from experience
• Open world thinking

120. Linked Data
What skills are needed?
• Domain experience/understanding
• Appreciation of Linked Data principles
• Guidance from experience
• Open world thinking
• Not constrained by siloed thinking

121. Linked Data
What skills are needed?
• Domain experience/understanding
• Appreciation of Linked Data principles
• Guidance from experience
• Open world thinking
• Not constrained by siloed thinking
• Not difficult, but different
http://www.flickr.com/photos/katclay/3778830795

122. Lin
ked
Da
ta

123. Lin
ked
Da
ta Hyped?

124. Lin
ked
Da
ta Hyped? – of course

125. Lin
ked
Da
ta Hyped? – of course
Potential to deliver better use of data

126. Lin
ked
Da
ta Hyped? – of course
Potential to deliver better use of data – yes

127. Lin
ked
Da
ta Hyped? – of course
Potential to deliver better use of data – yes
Potential to deliver wider use of data

128. Lin
ked
Da
ta Hyped? – of course
Potential to deliver better use of data – yes
Potential to deliver wider use of data – yes

129. Lin
ked
Da
ta Hyped? – of course
Potential to deliver better use of data – yes
Potential to deliver wider use of data – yes
Successful examples

130. Lin
ked
Da
ta Hyped? – of course
Potential to deliver better use of data – yes
Potential to deliver wider use of data – yes
Successful examples – many

131. Lin
ked
Da
ta Hyped? – of course
Potential to deliver better use of data – yes
Potential to deliver wider use of data – yes
Successful examples – many
ROI

132. Lin
ked
Da
ta Hyped? – of course
Potential to deliver better use of data – yes
Potential to deliver wider use of data – yes
Successful examples – many
ROI – yes

133. Lin
ked
Da
ta Hyped? – of course
Potential to deliver better use of data – yes
Potential to deliver wider use of data – yes
Successful examples – many
ROI – yes
New business model opportunities

134. Lin
ked
Da
ta Hyped? – of course
Potential to deliver better use of data – yes
Potential to deliver wider use of data – yes
Successful examples – many
ROI – yes
New business model opportunities – yes

135. Lin
ked
Da
ta Hyped? – of course
Potential to deliver better use of data – yes
Potential to deliver wider use of data – yes
Successful examples – many
ROI – yes
New business model opportunities – yes
Enterprise application

136. Lin
ked
Da
ta Hyped? – of course
Potential to deliver better use of data – yes
Potential to deliver wider use of data – yes
Successful examples – many
ROI – yes
New business model opportunities – yes
Enterprise application – yes

137. Lin
ked
Da
ta Hyped? – of course
Potential to deliver better use of data – yes
Potential to deliver wider use of data – yes
Successful examples – many
ROI – yes
New business model opportunities – yes
Enterprise application – yes
Difficult

138. Lin
ked
Da
ta Hyped? – of course
Potential to deliver better use of data – yes
Potential to deliver wider use of data – yes
Successful examples – many
ROI – yes
New business model opportunities – yes
Enterprise application – yes
Difficult – no

139. Lin
ked
Da
ta Hyped? – of course
Potential to deliver better use of data – yes
Potential to deliver wider use of data – yes
Successful examples – many
ROI – yes
New business model opportunities – yes
Enterprise application – yes
Difficult – no
Will I need help

140. Lin
ked
Da
ta Hyped? – of course
Potential to deliver better use of data – yes
Potential to deliver wider use of data – yes
Successful examples – many
ROI – yes
New business model opportunities – yes
Enterprise application – yes
Difficult – no
Will I need help – initially

141. Linked Data
What is just flannel
What skill sets are required?
Richard Wallis
@rjw