Contextual Computing: Laying a Global Data Foundation
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Transcript of Contextual Computing: Laying a Global Data Foundation
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Contextual Computing:Laying A Global Data Foundation
Richard Wallis Evangelist and FounderData [email protected]@rjw
DC- 2016Copenhagen
October 13, 2016
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[email protected] — @rjw
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Independent Consultant, Evangelist & Founder
[email protected] — @rjw
25+ Years – Library systems technology10+ Years – Semantic Web & Linked Data
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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
[email protected] — @rjw
25+ Years – Library systems technology10+ Years – Semantic Web & Linked Data
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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
[email protected] — @rjw
25+ Years – Library systems technology10+ Years – Semantic Web & Linked Data
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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
[email protected] — @rjw
25+ Years – Library systems technology10+ Years – Semantic Web & Linked Data
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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
[email protected] — @rjw
25+ Years – Library systems technology10+ Years – Semantic Web & Linked Data
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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
[email protected] — @rjw
25+ Years – Library systems technology10+ Years – Semantic Web & Linked Data
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contextual elements such as meaning, syntax, time, location, appropriate domain, regulations, user’s profile, process, task and goal.
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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.
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Contextual Computing:Knowledge Graphs The Web of Entities
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Contextual Computing:Knowledge Graphs The Web of Entities
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Contextual Computing:Knowledge Graphs The Web of Entities
Contextual
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Contextual Computing:Knowledge GraphsThe Web of Entities
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Context!
Context in
A Web of Entities
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● 1999●
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● 1999●
Tim Berners-Lee, 1999
“I have a dream for the Web [in which computers] becomecapable of analyzing all the data on the Web – the content, links,and transactions between people and computers. A ‘SemanticWeb’, which should make this possible, has yet to emerge, butwhen it does, the day-to-day mechanisms of trade, bureaucracyand our daily lives will be handled by machines talking tomachines. The ‘intelligent agents’ people have touted for ages willfinally materialize”
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● 1999●
Tim Berners-Lee, 1999
“I have a dream for the Web [in which computers] becomecapable of analyzing all the data on the Web – the content, links,and transactions between people and computers. A ‘SemanticWeb’, which should make this possible, has yet to emerge, butwhen it does, the day-to-day mechanisms of trade, bureaucracyand our daily lives will be handled by machines talking tomachines. The ‘intelligent agents’ people have touted for ages willfinally materialize”
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● 1999●
Tim Berners-Lee, 1999
“I have a dream for the Web [in which computers] becomecapable of analyzing all the data on the Web – the content, links,and transactions between people and computers. A ‘SemanticWeb’, which should make this possible, has yet to emerge, butwhen it does, the day-to-day mechanisms of trade, bureaucracyand our daily lives will be handled by machines talking tomachines. The ‘intelligent agents’ people have touted for ages willfinally materialize”
Intelligent Agents …
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The Infamous Open Linked Data Cloud
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Linked Open Data
The Infamous Open Linked Data Cloud
Impressive!
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Linked Open Data
The Infamous Open Linked Data Cloud
Impressive! • Raw RDF• Many Vocabs
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Linked Open Data
The Infamous Open Linked Data Cloud
Impressive! • Raw RDF• Many Vocabs
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Linked Open Data
The Infamous Open Linked Data Cloud
Impressive! • Raw RDF• Many Vocabs• SPARQL
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Linked Open Data
The Infamous Open Linked Data Cloud
Impressive!
But Useful?
• Raw RDF• Many Vocabs• SPARQL
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2● 2011 ●
June
Introducing Schema.org
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2● 2011 ●
June
Introducing Schema.org
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2● 2011 ●
June
Introducing Schema.org
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2● 2011 ●
June
Introducing Schema.org
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Knowledge Graph
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Knowledge Graph
16● 2012 ●
May
Google Knowledge Graph
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Knowledge Graph
16● 2012 ●
May
Google Knowledge Graph
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Knowledge Graph
16● 2012 ●
May
Google Knowledge Graph
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Google Knowledge Graph
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Google Knowledge Graph
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Google Knowledge Graph
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Google Knowledge Graph
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Knowledge Graph
Related Entities in a Graph
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Knowledge Graph
Bart Simpson
Related Entities in a Graph
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Knowledge Graph
Bart Simpson
Nancy Cartwright
Played By
Related Entities in a Graph
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Knowledge Graph
Bart Simpson
Nancy Cartwright
Dayton Ohio
Played By
Born In
Related Entities in a Graph
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Knowledge Graph
Bart Simpson
Nancy Cartwright
Dayton Ohio
Dayton AviationHeritage National Park
Played By
Born In
Place of Interest
Related Entities in a Graph
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Knowledge Graph
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Knowledge GraphSources for the Graph
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Knowledge GraphSources for the Graph
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Knowledge GraphSources for the Graph
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Knowledge GraphSources for the Graph
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Knowledge GraphSources for the Graph
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Knowledge GraphSources for the Graph
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Knowledge GraphPowered by the Graph
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Knowledge GraphPowered by the Graph
Knowledge Panel
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Knowledge GraphPowered by the Graph
Knowledge Panel
Info Box
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Knowledge GraphPowered by the Graph
Knowledge Panel
Info Box
Answer Box
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Knowledge GraphPowered by the Graph
Knowledge Panel
Info Box
Answer Box
Rich Snippets
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Knowledge GraphPowered by the Graph
Knowledge Panel
Info Box
Answer Box
Rich Snippets
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Using Schema.org
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Using Schema.org
•Data embedded in website html-Microdata / RDFa / JSON-LD
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Using Schema.org
•Data embedded in website html-Microdata / RDFa / JSON-LD•Harvested during normal web crawls
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Using Schema.org
•Data embedded in website html-Microdata / RDFa / JSON-LD•Harvested during normal web crawls•Under control of the [site] publisher
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Schema.org today
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• In use on over 12 million domains•Broad core vocabulary:
Schema.org today
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• In use on over 12 million domains•Broad core vocabulary:-Types: 571 Properties: 832 Values: 114•Extensions published:
Schema.org today
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• In use on over 12 million domains•Broad core vocabulary:-Types: 571 Properties: 832 Values: 114•Extensions published:
- auto.schema.org- bib.schema.org- health-lifesci.schema.org
Schema.org today
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Schema.org
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Schema.org
12+ Million
Web Sites
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Schema.org
12+ Million
Web SitesFound On 30% Pages*
* In a 10 billion page sample - 2015
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Schema.org
A de facto vocabulary for structured data on the web12+ Million
Web SitesFound On 30% Pages*
* In a 10 billion page sample - 2015
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Schema.org
A de facto vocabulary for structured data on the web
So, what does it look like ….
12+ Million
Web SitesFound On 30% Pages*
* In a 10 billion page sample - 2015
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A Bibliographic Example
WorldCat.org
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A Bibliographic Example
WorldCat.org
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A Bibliographic Example
WorldCat.org
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A Banking Example
Banc of California
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A Banking Example
Banc of California
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A Banking Example
Banc of California
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Why?
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Why? Our world is Changing!
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Why? Our world is Changing!
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Why? Our world is Changing!
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Why? Our world is Changing!
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Why? Our world is Changing!
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Why? Our world is Changing!
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Why? Our world is Changing!
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How To Participate
https://www.genua.de
Implementing Schema.org
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How To Participate
https://www.genua.de
A strategy for sharing data
Implementing Schema.org
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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
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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
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A Structured WebData Revolution
Structured Data Powering Discovery
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A Structured WebData Revolution
Enriching Knowledge Graphs with our Data
Structured Data Powering Discovery
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A Structured WebData Revolution
Enriching Knowledge Graphs with our Data
RichSnippets
KnowledgePanels
SemanticSearch
AnswerBoxesInfo
Boxes
ConversationalSearch
RichCards
SemanticSEO
EnhancedAnalyticsRankBrain
Structured Data Powering Discovery
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A Structured WebData Revolution
Enriching Knowledge Graphs with our Data
Reputable Structured Data
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A Structured WebData Revolution
Enriching Knowledge Graphs with our Data
Reputable Structured Data
Wherever possible link
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A Structured WebData Revolution
Enriching Knowledge Graphs with our Data
Reputable Structured Data
Trusted Reputable Hubs of Authority
Wherever possible linkto
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A Structured WebData Revolution
Enriching Knowledge Graphs with our Data
Reputable Structured Data
Trusted Reputable Hubs of Authority
Authoritative URIsAuthoritative Linking
Authoritative Descriptions
Wherever possible linkto
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A Structured WebData Revolution
Enriching Knowledge Graphs with our Data
Reputable Structured Data
Trusted Reputable Hubs of Authority
Authoritative URIsAuthoritative Linking
Authoritative Descriptions
Wherever possible linkto
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A Structured WebData Revolution
Enriching Knowledge Graphs with our Data
Reputable Structured Data
Trusted Reputable Hubs of Authority
Authoritative URIsAuthoritative Linking
Authoritative Descriptions
Wherever possible linkto
… working with a large community of libraries andpartners to create an infrastructure of identifiers
and data sustainable over the long term
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Structured Data Web
Structured Data - Global Context
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Structured Data WebA Global Graph of Related Entities
Structured Data - Global Context
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Structured Data WebA Global Graph of Related Entities
Providing Context on a Global Scale
Structured Data - Global Context
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Structured Data WebA 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
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Cognitive Computing
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Cognitive ComputingIs evolving from a world constrained by
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Cognitive ComputingIs evolving from a world constrained by
Local Context
Cognitive Computing - Local Context
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Cognitive ComputingIs evolving from a world constrained by
Local Context•Domain•Local Familiarity•Developer experiences•Local data models• Industry focussedvocabularies
Cognitive Computing - Local Context
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Cognitive Computing
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Cognitive ComputingIs emerging into a world enabled by
Global Context
Cognitive Computing - Global Context
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Cognitive ComputingIs 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
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For Cognitive Computing
Image: http://enable5.com/
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For Cognitive Computing
Global and
y
Image: http://enable5.com/
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For Cognitive Computing
Global and
y
Image: http://enable5.com/
Delivering on one revolution …
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For Cognitive Computing
Global and
y
Image: http://enable5.com/
Delivering on one revolution …Laying foundations for another
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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
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Contextual Computing:Laying A Global Data Foundation
Richard Wallis Evangelist and FounderData [email protected]@rjw
DC- 2016Copenhagen
October 13, 2016
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Contextual Computing:
Richard Wallis Evangelist and FounderData [email protected]@rjw
SmartData ONLINEJuly13, 2016
Knowledge GraphsThe Web of Entities
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Contextual Computing:
Richard Wallis Evangelist and FounderData [email protected]@rjw
SmartData ONLINEJuly13, 2016
Cognitive
Knowledge GraphsThe Web of Entities
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Contextual Computing:
Richard Wallis Evangelist and FounderData [email protected]@rjw
SmartData ONLINEJuly13, 2016
The Global Web of Entities Helped by Knowledge Graphs
Cognitive
Enabled by
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Contextual Computing:
Richard Wallis Evangelist and FounderData [email protected]@rjw
SmartData ONLINEJuly13, 2016
The Global Web of Entities Helped by Knowledge Graphs
Cognitive
Enabled by
*Assisted by
*