contextual computing: laying a global data foundation

Contextual Computing:Laying A Global Data Foundation

Richard Wallis Evangelist and FounderData [email protected]@rjw

DC- 2016Copenhagen

October 13, 2016

[email protected] — @rjw

Independent Consultant, Evangelist & Founder




25+ Years – Library systems technology10+ Years – Semantic Web & Linked Data


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




Working With:• Google – Schema.org vocabulary, site, extensions

documentation and community








documentation and community• OCLC - Global library cooperative








documentation and community• OCLC - Global library cooperative • FIBO – Financial Industry Business Ontology








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






Image: http://enable5.com/


contextual elements such as meaning, syntax, time, location, appropriate domain, regulations, user’s profile, process, task and goal.

Contextual Computing:Knowledge Graphs The Web of Entities

Contextual Computing:Knowledge Graphs The Web of Entities

Contextual

Contextual Computing:Knowledge GraphsThe Web of Entities

Context!

Context in

A Web of Entities

● 1999●

● 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”

● 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 …

The Infamous Open Linked Data Cloud

Linked Open Data


Impressive!

Linked Open Data


Impressive! • Raw RDF• Many Vocabs

Linked Open Data


Impressive! • Raw RDF• Many Vocabs• SPARQL

Linked Open Data


Impressive!

But Useful?

• Raw RDF• Many Vocabs• SPARQL

2● 2011 ●

June

Introducing Schema.org

Knowledge Graph

Knowledge Graph

16● 2012 ●

May

Google Knowledge Graph

Google Knowledge Graph

Knowledge Graph

Related Entities in a Graph

Knowledge Graph

Bart Simpson


Knowledge Graph

Bart Simpson

Nancy Cartwright

Played By


Knowledge Graph

Bart Simpson

Nancy Cartwright

Dayton Ohio

Played By

Born In


Knowledge Graph

Bart Simpson

Nancy Cartwright

Dayton Ohio

Dayton AviationHeritage National Park

Played By

Born In

Place of Interest


Knowledge Graph

Knowledge GraphSources for the Graph

Knowledge GraphPowered by the Graph


Knowledge Panel


Knowledge Panel

Info Box


Knowledge Panel

Info Box

Answer Box


Knowledge Panel

Info Box

Answer Box

Rich Snippets

Using Schema.org

Using Schema.org

•Data embedded in website html-Microdata / RDFa / JSON-LD

Using Schema.org

•Data embedded in website html-Microdata / RDFa / JSON-LD•Harvested during normal web crawls

Using Schema.org

•Data embedded in website html-Microdata / RDFa / JSON-LD•Harvested during normal web crawls•Under control of the [site] publisher

Schema.org today

• In use on over 12 million domains•Broad core vocabulary:

Schema.org today

• In use on over 12 million domains•Broad core vocabulary:-Types: 571 Properties: 832 Values: 114•Extensions published:

Schema.org today

• 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

Schema.org

Schema.org

12+ Million

Web Sites

Schema.org

12+ Million

Web SitesFound On 30% Pages*

* In a 10 billion page sample - 2015

Schema.org

A de facto vocabulary for structured data on the web12+ Million



Schema.org

A de facto vocabulary for structured data on the web

So, what does it look like ….

12+ Million



A Bibliographic Example

WorldCat.org

A Banking Example

Banc of California

Why? Our world is Changing!

How To Participate

https://www.genua.de

Implementing Schema.org

How To Participate


A strategy for sharing data


How To Participate



• 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


How To Participate



• 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


A Structured WebData Revolution

Structured Data Powering Discovery


Enriching Knowledge Graphs with our Data




RichSnippets

KnowledgePanels

SemanticSearch

AnswerBoxesInfo

Boxes

ConversationalSearch

RichCards

SemanticSEO

EnhancedAnalyticsRankBrain




Reputable Structured Data




Wherever possible link




Trusted Reputable Hubs of Authority

Wherever possible linkto





Authoritative URIsAuthoritative Linking

Authoritative Descriptions






Authoritative URIsAuthoritative Linking

Authoritative Descriptions


… working with a large community of libraries andpartners to create an infrastructure of identifiers

and data sustainable over the long term

Structured Data Web

Structured Data - Global Context

Structured Data WebA Global Graph of Related Entities



Providing Context on a Global Scale



Providing Context on a Global Scale


Cognitive

Computing needs


Cognitive Computing

Cognitive ComputingIs evolving from a world constrained by


Local Context

Cognitive Computing - Local Context


Local Context•Domain•Local Familiarity•Developer experiences•Local data models• Industry focussedvocabularies

Cognitive Computing - Local Context

Cognitive Computing

Cognitive ComputingIs emerging into a world enabled by

Global Context

Cognitive Computing - Global Context

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

For Cognitive Computing



Global and

y



Global and

y


Delivering on one revolution …


Global and

y


Delivering on one revolution …Laying foundations for another


Global and

y


Delivering on one revolution …Laying foundations for another

Building a Contextual Web of Entities

Schema.org - Building Global Context

Contextual Computing:Laying A Global Data Foundation


DC- 2016Copenhagen

October 13, 2016

Contextual Computing:


SmartData ONLINEJuly13, 2016

Knowledge GraphsThe Web of Entities




Cognitive

Knowledge GraphsThe Web of Entities




The Global Web of Entities Helped by Knowledge Graphs

Cognitive

Enabled by




The Global Web of Entities Helped by Knowledge Graphs

Cognitive

Enabled by

*Assisted by

*

contextual computing: laying a global data foundation

Data & Analytics