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Extending Schema.org

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Richard Wallis

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.

Technology
Related topics:
Linked Data
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DCMI Conference Austin, TX October 10th 2014 Extending Schema.org Richard Wallis Technology Evangelist @rjw
Representing the collective collection in WorldCat Discovery and WorldCat.org As of 11 June 2013
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
Extending Schema.org
Structured Data Objectives
Structured Data Objectives • Linking with hubs of authority on the web
Structured Data Objectives • Linking with hubs of authority on the web • viaf.org – persons
Structured Data Objectives • Linking with hubs of authority on the web • viaf.org – persons • Library of congress – subjects, etc
Structured Data Objectives • Linking with hubs of authority on the web • viaf.org – persons • Library of congress – subjects, etc • Dewey.info – classifications
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
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
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
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
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
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
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
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
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
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
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
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
• 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
• 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
Extending Schema.org
Introducing Linked Data Phase 1
Introducing Linked Data Phase 1 • First mine the data
Introducing Linked Data Phase 1 • First mine the data • Records held in Marc • Identify the entities
Introducing Linked Data Phase 1 • First mine the data • Records held in Marc • Identify the entities • Person, Organization, CreativeWork, etc.
Introducing Linked Data Phase 1 • First mine the data • Records held in Marc • Identify the entities • Person, Organization, CreativeWork, etc. • Match strings to things
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
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
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
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
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
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
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?
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
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
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
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
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!
Extending Schema.org
Extending Schema.org
Extending Schema.org
Gaps in Schema.org coverage
What to do about Gaps in Schema.org coverage
What to do about Gaps in Schema.org coverage
What to do about Gaps in Schema.org coverage
What to do about Gaps in Schema.org coverage
What to do about Gaps in Schema.org coverage Lobby them for updates / extensions
What to do about Gaps in Schema.org coverage Lobby them for updates / extensions
What to do about Gaps in Schema.org coverage Lobby them for updates / extensions
What to do about Gaps in Schema.org coverage Lobby them for updates / extensions
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
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
What to do about Gaps in Schema.org coverage … or form a group to do it
What to do about Gaps in Schema.org coverage
What to do about Gaps in Schema.org coverage http://www.w3.org/community/schemabibex
What to do about but Gaps in Schema.org coverage
What to do about but Gaps in Schema.org coverage Not everything is appropriate for Schema.org
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!
I’ll create my own vocabulary
I’ll create my own vocabulary
I’ll create my own vocabulary But doesn’t that loose all the benefits of Schema?
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
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?
Frosting on the Schema.org Cake BiblioGraph.net
Extending Schema.org
Extending Schema.org
Extending Schema.org
Extension Vocabulary
Extension Vocabulary • Adds your domain specifics
Extension Vocabulary • Adds your domain specifics • Mostly Schema.org
Extension Vocabulary • Adds your domain specifics • Mostly Schema.org • Only need to fill in the gaps
Extension Vocabulary • Adds your domain specifics • Mostly Schema.org • Only need to fill in the gaps • Search engines will understand most
Extension Vocabulary • Adds your domain specifics • Mostly Schema.org • Only need to fill in the gaps • Search engines will understand most • Familiar
Extension Vocabulary • Adds your domain specifics • Mostly Schema.org • Only need to fill in the gaps • Search engines will understand most • Familiar • Eases adoption
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
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
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
Namespace Proliferation
Namespace Proliferation The Enemy of Adoption
Namespace Proliferation The Enemy of Adoption
Namespace Proliferation The Enemy of Adoption
Namespace Proliferation The Enemy of Adoption bits Which I can use?
Namespace Proliferation The Enemy of Adoption bits Which I can use? bits Which I can’t use?
Namespace Proliferation The Enemy of Adoption bits Which I can use? bits Which I can’t use? is This overwhelming! move I’ll …. on
@prefix schema: <http://schema.org/> @prefix bgn: <http://bibliograph.net/> !!!!!
@prefix schema: <http://schema.org/> @prefix bgn: <http://bibliograph.net/> !!!!! • Not as good as a single namespace
@prefix schema: <http://schema.org/> @prefix bgn: <http://bibliograph.net/> !!!!! • Not as good as a single namespace • But next best thing and understandable by:
@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
@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
@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
Extending Schema.org
An extension to Schema.org…
An extension to Schema.org… • to fill in some [temporary ?] domain specific gaps
An extension to Schema.org… • to fill in some [temporary ?] domain specific gaps • light weight access to rich data
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
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… • 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…
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
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)
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… • 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 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.
OCLC Entity Based Data Strategy
OCLC Entity Based Data Strategy ✓ VIAF, ISNI, FAST Publish Linked Data
OCLC Entity Based Data Strategy ✓ VIAF, ISNI, FAST Publish Linked Data ✓ WorldCat.org Linked Data Release 2012 – using Schema.org
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Richard Wallis Technology Evangelist richard.wallis@oclc.org @rjw Extending Schema.org Explore. Share. Magnify.

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Extending Schema.org

  • 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
  • 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
  • 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
  • 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
  • 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.