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Contextual Computing: Laying a Global Data Foundation
1. Contextual Computing:
Laying A Global Data Foundation
Richard Wallis
Evangelist and Founder
Data Liberate
richard.wallis@dataliberate.com
@rjw
DC- 2016
Copenhagen
October 13, 2016
4. Independent Consultant, Evangelist & Founder
richard.wallis@dataliberate.com — @rjw
25+ Years – Library systems technology
10+ Years – Semantic Web & Linked Data
5. Independent Consultant, Evangelist & Founder
W3C Community Groups:
• Schema Bib Extend (Chair)
• Schema.org for bibliographic data
• bib.schema.org
• Schema Architypes (Chair)
• Financial Industry Business Ontology – fibo.schema.org
• Tourism Structured Web Data (Co-Chair)
• Schema Course Extension
richard.wallis@dataliberate.com — @rjw
25+ Years – Library systems technology
10+ Years – Semantic Web & Linked Data
6. Independent Consultant, Evangelist & Founder
Working With:
• Google – Schema.org vocabulary, site, extensions
documentation and community
W3C Community Groups:
• Schema Bib Extend (Chair)
• Schema.org for bibliographic data
• bib.schema.org
• Schema Architypes (Chair)
• Financial Industry Business Ontology – fibo.schema.org
• Tourism Structured Web Data (Co-Chair)
• Schema Course Extension
richard.wallis@dataliberate.com — @rjw
25+ Years – Library systems technology
10+ Years – Semantic Web & Linked Data
7. Independent Consultant, Evangelist & Founder
Working With:
• Google – Schema.org vocabulary, site, extensions
documentation and community
• OCLC - Global library cooperative
W3C Community Groups:
• Schema Bib Extend (Chair)
• Schema.org for bibliographic data
• bib.schema.org
• Schema Architypes (Chair)
• Financial Industry Business Ontology – fibo.schema.org
• Tourism Structured Web Data (Co-Chair)
• Schema Course Extension
richard.wallis@dataliberate.com — @rjw
25+ Years – Library systems technology
10+ Years – Semantic Web & Linked Data
8. Independent Consultant, Evangelist & Founder
Working With:
• Google – Schema.org vocabulary, site, extensions
documentation and community
• OCLC - Global library cooperative
• FIBO – Financial Industry Business Ontology
W3C Community Groups:
• Schema Bib Extend (Chair)
• Schema.org for bibliographic data
• bib.schema.org
• Schema Architypes (Chair)
• Financial Industry Business Ontology – fibo.schema.org
• Tourism Structured Web Data (Co-Chair)
• Schema Course Extension
richard.wallis@dataliberate.com — @rjw
25+ Years – Library systems technology
10+ Years – Semantic Web & Linked Data
9. Independent Consultant, Evangelist & Founder
Working With:
• Google – Schema.org vocabulary, site, extensions
documentation and community
• OCLC - Global library cooperative
• FIBO – Financial Industry Business Ontology
• Various Clients – Implementing/understanding Schema.org
e.g. Singapore National Library Board - Europeana
W3C Community Groups:
• Schema Bib Extend (Chair)
• Schema.org for bibliographic data
• bib.schema.org
• Schema Architypes (Chair)
• Financial Industry Business Ontology – fibo.schema.org
• Tourism Structured Web Data (Co-Chair)
• Schema Course Extension
richard.wallis@dataliberate.com — @rjw
25+ Years – Library systems technology
10+ Years – Semantic Web & Linked Data
20. Image: http://enable5.com/
contextual elements such as
meaning, syntax, time, location,
appropriate domain, regulations,
user’s profile, process, task and
goal.
contextual elements such as
meaning, syntax, time, location,
appropriate domain, regulations,
user’s profile, process, task and
goal.
29. ● 1999●
Tim Berners-Lee, 1999
“I have a dream for the Web [in which computers] become
capable of analyzing all the data on the Web – the content, links,
and transactions between people and computers. A ‘Semantic
Web’, which should make this possible, has yet to emerge, but
when it does, the day-to-day mechanisms of trade, bureaucracy
and our daily lives will be handled by machines talking to
machines. The ‘intelligent agents’ people have touted for ages will
finally materialize”
30. ● 1999●
Tim Berners-Lee, 1999
“I have a dream for the Web [in which computers] become
capable of analyzing all the data on the Web – the content, links,
and transactions between people and computers. A ‘Semantic
Web’, which should make this possible, has yet to emerge, but
when it does, the day-to-day mechanisms of trade, bureaucracy
and our daily lives will be handled by machines talking to
machines. The ‘intelligent agents’ people have touted for ages will
finally materialize”
31. ● 1999●
Tim Berners-Lee, 1999
“I have a dream for the Web [in which computers] become
capable of analyzing all the data on the Web – the content, links,
and transactions between people and computers. A ‘Semantic
Web’, which should make this possible, has yet to emerge, but
when it does, the day-to-day mechanisms of trade, bureaucracy
and our daily lives will be handled by machines talking to
machines. The ‘intelligent agents’ people have touted for ages will
finally materialize”
Intelligent Agents …
55. Knowledge Graph
Bart Simpson
Nancy Cartwright
Dayton Ohio
Dayton Aviation
Heritage National Park
Played By
Born In
Place of Interest
Related Entities in a Graph
72. Using Schema.org
•Data embedded in website html
-Microdata / RDFa / JSON-LD
•Harvested during normal web crawls
•Under control of the [site] publisher
80. Schema.org
A de facto vocabulary for
structured data on the web12+ Million
Web Sites
Found On30% Pages*
* In a 10 billion page sample - 2015
81. Schema.org
A de facto vocabulary for
structured data on the web
So, what does it look like ….
12+ Million
Web Sites
Found On30% Pages*
* In a 10 billion page sample - 2015
98. How To Participate
https://www.genua.de
A strategy for sharing data
• Identify your data entities
• Map to Schema.org
• Look for external links
• Add markup to pages
• Markup your organisation
• Help the crawlers
• Monitor effects
• Continuously improve
Implementing Schema.org
99. How To Participate
https://www.genua.de
A strategy for sharing data
• Identify your data entities
• Map to Schema.org
• Look for external links
• Add markup to pages
• Markup your organisation
• Help the crawlers
• Monitor effects
• Continuously improve
Make the Search Engines Aware of Your Entities
Implementing Schema.org
101. A Structured Web
Data Revolution
Enriching Knowledge Graphs with our Data
Structured Data Powering Discovery
102. A Structured Web
Data Revolution
Enriching Knowledge Graphs with our Data
Rich
Snippets
Knowledge
Panels
Semantic
Search
Answer
BoxesInfo
Boxes
Conversational
Search
Rich
Cards
Semantic
SEO
Enhanced
AnalyticsRankBrain
Structured Data Powering Discovery
103. A Structured Web
Data Revolution
Enriching Knowledge Graphs with our Data
Reputable Structured Data
104. A Structured Web
Data Revolution
Enriching Knowledge Graphs with our Data
Reputable Structured Data
Wherever possible link
105. A Structured Web
Data Revolution
Enriching Knowledge Graphs with our Data
Reputable Structured Data
Trusted Reputable Hubs of Authority
Wherever possible link
to
106. A Structured Web
Data Revolution
Enriching Knowledge Graphs with our Data
Reputable Structured Data
Trusted Reputable Hubs of Authority
Authoritative URIs
Authoritative Linking
Authoritative Descriptions
Wherever possible link
to
107. A Structured Web
Data Revolution
Enriching Knowledge Graphs with our Data
Reputable Structured Data
Trusted Reputable Hubs of Authority
Authoritative URIs
Authoritative Linking
Authoritative Descriptions
Wherever possible link
to
108. A Structured Web
Data Revolution
Enriching Knowledge Graphs with our Data
Reputable Structured Data
Trusted Reputable Hubs of Authority
Authoritative URIs
Authoritative Linking
Authoritative Descriptions
Wherever possible link
to
… working with a large community of libraries and
partners to create an infrastructure of identifiers
and data sustainable over the long term
110. Structured Data Web
A Global Graph of Related Entities
Structured Data - Global Context
111. Structured Data Web
A Global Graph of Related Entities
Providing Context on a Global Scale
Structured Data - Global Context
112. Structured Data Web
A Global Graph of Related Entities
Providing Context on a Global Scale
contextual elements such as
meaning, syntax, time, location,
appropriate domain, regulations,
user’s profile, process, task and
goal.
Cognitive
Computing
needs
Structured Data - Global Context
116. Cognitive Computing
Is evolving from a world constrained by
Local Context
•Domain
•Local Familiarity
•Developer experiences
•Local data models
•Industry focussed
vocabularies
Cognitive Computing - Local Context
119. Cognitive Computing
Is emerging into a world enabled by
Global Context
•Cross Domain
•Broad Familiarity
•Many Developers
•Flexible data model
•De facto vocabulary
•Knowledge Graphs
•Millions* of Entities
*12+ Million Sites
Cognitive Computing - Global Context
123. For Cognitive Computing
Global and
y
Image: http://enable5.com/
Delivering on one revolution …
Laying foundations for another
124. For Cognitive Computing
Global and
y
Image: http://enable5.com/
Delivering on one revolution …
Laying foundations for another
Building a Contextual Web of Entities
Schema.org - Building Global Context
125. Contextual Computing:
Laying A Global Data Foundation
Richard Wallis
Evangelist and Founder
Data Liberate
richard.wallis@dataliberate.com
@rjw
DC- 2016
Copenhagen
October 13, 2016
127. Contextual Computing:
Richard Wallis
Evangelist and Founder
Data Liberate
richard.wallis@dataliberate.com
@rjw
SmartData ONLINE
July13, 2016
Cognitive
Knowledge Graphs
The Web of Entities
128. Contextual Computing:
Richard Wallis
Evangelist and Founder
Data Liberate
richard.wallis@dataliberate.com
@rjw
SmartData ONLINE
July13, 2016
The Global Web of Entities
Helped by Knowledge Graphs
Cognitive
Enabled by
129. Contextual Computing:
Richard Wallis
Evangelist and Founder
Data Liberate
richard.wallis@dataliberate.com
@rjw
SmartData ONLINE
July13, 2016
The Global Web of Entities
Helped by Knowledge Graphs
Cognitive
Enabled by
*Assisted by
*