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Identifying The Benefit of Linked Data

The document discusses the benefits of linked data and provides instructions for creating linked data. It describes how linked data allows for connecting and sharing information on the web through the use of URIs and RDF triples. The key steps outlined for creating linked data include establishing the entities in your data, giving them URIs, describing each entity, and linking to authoritative hubs. Schema.org is presented as a vocabulary that is widely used and can be extended for specific domains.

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IdentifyingThe Benefit of Linked DataRichard Wallis!Technology Evangelist@rjwMelbourne - 2nd July 2015
https://www.wikidata.org/entity/Q937IdentifyingThe Benefit of Linked DataRichard Wallis!Technology Evangelist@rjwMelbourne - 2nd July 2015
NO MAN IS JUST A NUMBER
NO MAN IS JUST A NUMBERhttps://www.wikidata.org/entity/Q937https://viaf.org/viaf/75121530/http://isni.org/0000000077040933http://id.loc.gov/authorities/names/n79022889http://www.imdb.com/name/nm0251868/http://data.nytimes.com/49783928729941204213http://www.researcherid.com/rid/I-6013-2012
NO MAN IS JUST A NUMBERhttps://www.wikidata.org/entity/Q937https://viaf.org/viaf/75121530/http://isni.org/0000000077040933http://id.loc.gov/authorities/names/n79022889http://www.imdb.com/name/nm0251868/http://data.nytimes.com/49783928729941204213http://www.researcherid.com/rid/I-6013-2012}sameAs
Linked Data
Linked DataRDF
Linked DataRDFAnyone can say anythingabout anything

Linked DataRDFAnyone can say anythingabout anything
..in Triples..schema:name “Albert Einstein”.<http://viaf.org/viaf/75121530>
<http://ethz.ch/12345>Hypothetical example
<http://ethz.ch/12345>a schema:Person ;Hypothetical example
<http://ethz.ch/12345>a schema:Person ;schema:name “Albert Eistein” ;Hypothetical example
<http://ethz.ch/12345>a schema:Person ;schema:name “Albert Eistein” ;schema:alumniOf <http://ethz.ch>;Hypothetical example
<http://ethz.ch/12345>a schema:Person ;schema:name “Albert Eistein” ;schema:alumniOf <http://ethz.ch>;<http://ethz.ch>a schema:Organization ;schema:name “Swiss Federal Institute of Technology”;schema:url <http://www.ethz.ch>;schema:sameAs <https://www.wikidata.org/entity/Q11942>Hypothetical example
<http://ethz.ch/12345>a schema:Person ;schema:name “Albert Eistein” ;schema:alumniOf <http://ethz.ch>;schema:sameAs <http://isni.org/0000000077040933>;<http://ethz.ch>a schema:Organization ;schema:name “Swiss Federal Institute of Technology”;schema:url <http://www.ethz.ch>;schema:sameAs <https://www.wikidata.org/entity/Q11942>Hypothetical example
<http://ethz.ch/12345>a schema:Person ;schema:name “Albert Eistein” ;schema:alumniOf <http://ethz.ch>;schema:sameAs <http://isni.org/0000000077040933>;schema:sameAs <https://www.wikidata.org/entity/Q937><http://ethz.ch>a schema:Organization ;schema:name “Swiss Federal Institute of Technology”;schema:url <http://www.ethz.ch>;schema:sameAs <https://www.wikidata.org/entity/Q11942>Hypothetical example
<http://ethz.ch/12345>a schema:Person ;schema:name “Albert Eistein” ;schema:alumniOf <http://ethz.ch>;schema:sameAs <http://isni.org/0000000077040933>;schema:sameAs <https://www.wikidata.org/entity/Q937><http://ethz.ch>a schema:Organization ;schema:name “Swiss Federal Institute of Technology”;schema:url <http://www.ethz.ch>;schema:sameAs <https://www.wikidata.org/entity/Q11942>Hypothetical example
<http://ethz.ch/12345>a schema:Person ;schema:name “Albert Eistein” ;schema:alumniOf <http://ethz.ch>;schema:sameAs <http://isni.org/0000000077040933>;schema:sameAs <https://www.wikidata.org/entity/Q937><http://ethz.ch>a schema:Organization ;schema:name “Swiss Federal Institute of Technology”;schema:url <http://www.ethz.ch>;schema:sameAs <https://www.wikidata.org/entity/Q11942>Hypothetical example
Link your data
• Create and connect identifiers — URIsLink your data
• Create and connect identifiers — URIs• Describe your resourcesLink your data
• Create and connect identifiers — URIs• Describe your resources• Use what works for youLink your data
• Create and connect identifiers — URIs• Describe your resources• Use what works for you• Expose / Publish to the WebLink your data
Link your data
Link your dataGround your descriptions• Set your resources in context
Link your dataGround your descriptions• Set your resources in context• Link to hubs of authority
One Hub to Rule Them All?
VIAF.orgOne Hub to Rule Them All?A web of authoritative hubs
VIAF.orgOne Hub to Rule Them All?A web of authoritative hubs
Its not just about people
person placeobject conceptorganization workIts not just about people
The  library  knowledge  graph
A  graph  of  relationshipsperson placeobject conceptorganization workIts not just about people
Dublin CoreFOAFSKOSBibo / OADBIBFRAMERDA / MarcCIDOC CRMBio / GeoOWL /RDF / RDFSSchema.orgOntology ProjectVocabulariesWithSearch EngineRecognitionSelecting your vocabularies
Dublin CoreFOAFSKOSBibo / OADBIBFRAMERDA / MarcCIDOC CRMBio / GeoOWL /RDF / RDFSSchema.orgOntology ProjectVocabulariesWithSearch EngineRecognitionSelecting your vocabularies
WithSearch EngineRecognition
WithSearch EngineRecognition
WithSearch EngineRecognitionA general purpose vocabulary for describingthings on the web.
WithSearch EngineRecognitionA general purpose vocabulary for describingthings on the web.• Backed by the Search Engines
WithSearch EngineRecognitionA general purpose vocabulary for describingthings on the web.• Backed by the Search Engines• W3C Community- Discussion, proposals, organisation, Github
WithSearch EngineRecognitionA general purpose vocabulary for describingthings on the web.• Backed by the Search Engines• W3C Community- Discussion, proposals, organisation, Github• A live evolving vocabulary
WithSearch EngineRecognitionA general purpose vocabulary for describingthings on the web.• Backed by the Search Engines• W3C Community- Discussion, proposals, organisation, Github• A live evolving vocabulary• Used by millions of domains
WithSearch EngineRecognitionA general purpose vocabulary for describingthings on the web.• Backed by the Search Engines• W3C Community- Discussion, proposals, organisation, Github• A live evolving vocabulary• Used by millions of domains• Expanding into domain specific extensions
Used by millions of domains
Used by millions of domains640 Types (Classes)988 Properties
Used by millions of domains640 Types (Classes)988 Properties
Used by millions of domains640 Types (Classes)988 Properties
Used by millions of domains640 Types (Classes)988 Properties
Used by millions of domains640 Types (Classes)988 Properties
Used by millions of domains640 Types (Classes)988 Properties
Used by millions of domains640 Types (Classes)988 Properties
Used by millions of domains640 Types (Classes)988 Properties
Extending Schema.org
Extending Schema.orgwww.w3.org/community/schemabibex
Extending Schema.orgwww.w3.org/community/schemabibex
Extending Schema.orgwww.w3.org/community/schemabibexSchema.org extensions• Community led
Extending Schema.orgwww.w3.org/community/schemabibexSchema.org extensions• Community led• Domain focused
Extending Schema.orgwww.w3.org/community/schemabibexSchema.org extensions• Community led• Domain focused• Flat namespace
Extending Schema.orgwww.w3.org/community/schemabibexSchema.org extensions• Community led• Domain focused• Flat namespace• Hosted by Schema.org
Extending Schema.orgwww.w3.org/community/schemabibexSchema.org extensions• Community led• Domain focused• Flat namespace• Hosted by Schema.org• Initial extensions:- bib.schema.org- auto.schema.org- ???.schema.org
Dublin CoreFOAFSKOSBibo / OADBIBFRAMERDA / MarcCIDOC CRMBio / GeoOWL /RDF / RDFSSchema.orgOntology ProjectVocabulariesWithSearch EngineRecognitionSelect vocabularies with purpose
Dublin CoreFOAFSKOSBibo / OADBIBFRAMERDA / MarcCIDOC CRMBio / GeoOWL /RDF / RDFSSchema.orgOntology ProjectVocabulariesWithSearch EngineRecognitionSelect vocabularies with purpose
Dublin CoreFOAFSKOSBibo / OADBIBFRAMERDA / MarcCIDOC CRMBio / GeoOWL /RDF / RDFSSchema.orgOntology ProjectVocabulariesBeing discovered is !usually one purposeWithSearch EngineRecognitionSelect vocabularies with purpose
Research:A discovery unshared is a secret
Research:Discovering and connecting facts,materials, sources, people,places, events, organisations …and other research.A discovery unshared is a secret
Research:Discovering and connecting facts,materials, sources, people,places, events, organisations …and other research.A discovery unshared is a secret•Identify - to share
Research:Discovering and connecting facts,materials, sources, people,places, events, organisations …and other research.A discovery unshared is a secret•Identify - to share•Identify - to link
Research:Discovering and connecting facts,materials, sources, people,places, events, organisations …and other research.A discovery unshared is a secret•Identify - to share•Identify - to link•URI - Uniform Resource Identifier
A Linked Data Recipe
A Linked Data Recipe1. Establish the entities in your data- Person, Work, Place, Event, Concept, …
A Linked Data Recipe1. Establish the entities in your data- Person, Work, Place, Event, Concept, …2. Give them URIs<http://myedu.org/faculty/54729>
A Linked Data Recipe<http://myedu.org/faculty/54729>!a schema:Person ;!schema:name “Prof. Green” .1. Establish the entities in your data- Person, Work, Place, Event, Concept, …2. Give them URIs<http://myedu.org/faculty/54729>3. Describe each entity- no matter how simply
A Linked Data Recipe<http://myedu.org/faculty/54729>!a schema:Person ;!schema:name “Prof. Green” .1. Establish the entities in your data- Person, Work, Place, Event, Concept, …2. Give them URIs<http://myedu.org/faculty/54729>3. Describe each entity- no matter how simply- don’t just transform an old record format
A Linked Data Recipe<http://myedu.org/faculty/54729>!a schema:Person ;!schema:name “Prof. Green” .1. Establish the entities in your data- Person, Work, Place, Event, Concept, …2. Give them URIs<http://myedu.org/faculty/54729>3. Describe each entity- no matter how simply- don’t just transform an old record format4. Link to authoritative hubs to set your entities in context
A Linked Data Recipe<http://myedu.org/faculty/54729>!a schema:Person ;!schema:name “Prof. Green” .sameAs <https://viaf.org/viaf/75121530/> .1. Establish the entities in your data- Person, Work, Place, Event, Concept, …2. Give them URIs<http://myedu.org/faculty/54729>3. Describe each entity- no matter how simply- don’t just transform an old record format4. Link to authoritative hubs to set your entities in context- ISNI, VIAF, ORCID, WorldCat Works, LCSH, Wikidata, …
A Linked Data Recipe<http://myedu.org/faculty/54729>!a schema:Person ;!schema:name “Prof. Green” .sameAs <https://viaf.org/viaf/75121530/> .1. Establish the entities in your data- Person, Work, Place, Event, Concept, …2. Give them URIs<http://myedu.org/faculty/54729>3. Describe each entity- no matter how simply- don’t just transform an old record format4. Link to authoritative hubs to set your entities in context- ISNI, VIAF, ORCID, WorldCat Works, LCSH, Wikidata, …5. Use appropriate vocabularies useful for all consumers
A Linked Data Recipe<http://myedu.org/faculty/54729>!a schema:Person ;!schema:name “Prof. Green” .sameAs <https://viaf.org/viaf/75121530/> .1. Establish the entities in your data- Person, Work, Place, Event, Concept, …2. Give them URIs<http://myedu.org/faculty/54729>3. Describe each entity- no matter how simply- don’t just transform an old record format4. Link to authoritative hubs to set your entities in context- ISNI, VIAF, ORCID, WorldCat Works, LCSH, Wikidata, …5. Use appropriate vocabularies useful for all consumersa. The vocabularies for your needs
A Linked Data Recipe<http://myedu.org/faculty/54729>!a schema:Person ;!schema:name “Prof. Green” .sameAs <https://viaf.org/viaf/75121530/> .1. Establish the entities in your data- Person, Work, Place, Event, Concept, …2. Give them URIs<http://myedu.org/faculty/54729>3. Describe each entity- no matter how simply- don’t just transform an old record format4. Link to authoritative hubs to set your entities in context- ISNI, VIAF, ORCID, WorldCat Works, LCSH, Wikidata, …5. Use appropriate vocabularies useful for all consumersa. The vocabularies for your needsb. Appropriate for your domain
A Linked Data Recipe<http://myedu.org/faculty/54729>!a schema:Person ;!schema:name “Prof. Green” .sameAs <https://viaf.org/viaf/75121530/> .1. Establish the entities in your data- Person, Work, Place, Event, Concept, …2. Give them URIs<http://myedu.org/faculty/54729>3. Describe each entity- no matter how simply- don’t just transform an old record format4. Link to authoritative hubs to set your entities in context- ISNI, VIAF, ORCID, WorldCat Works, LCSH, Wikidata, …5. Use appropriate vocabularies useful for all consumersa. The vocabularies for your needsb. Appropriate for your domainc. Schema.org for everyone else
A Linked Data Recipe<http://myedu.org/faculty/54729>!a schema:Person ;!schema:name “Prof. Green” .sameAs <https://viaf.org/viaf/75121530/> .1. Establish the entities in your data- Person, Work, Place, Event, Concept, …2. Give them URIs<http://myedu.org/faculty/54729>3. Describe each entity- no matter how simply- don’t just transform an old record format4. Link to authoritative hubs to set your entities in context- ISNI, VIAF, ORCID, WorldCat Works, LCSH, Wikidata, …5. Use appropriate vocabularies useful for all consumersa. The vocabularies for your needsb. Appropriate for your domainc. Schema.org for everyone else6. Openly share your data
A Linked Data Recipe<http://myedu.org/faculty/54729>!a schema:Person ;!schema:name “Prof. Green” .sameAs <https://viaf.org/viaf/75121530/> .1. Establish the entities in your data- Person, Work, Place, Event, Concept, …2. Give them URIs<http://myedu.org/faculty/54729>3. Describe each entity- no matter how simply- don’t just transform an old record format4. Link to authoritative hubs to set your entities in context- ISNI, VIAF, ORCID, WorldCat Works, LCSH, Wikidata, …5. Use appropriate vocabularies useful for all consumersa. The vocabularies for your needsb. Appropriate for your domainc. Schema.org for everyone else6. Openly share your data- Open Data license
A Linked Data Recipe<http://myedu.org/faculty/54729>!a schema:Person ;!schema:name “Prof. Green” .sameAs <https://viaf.org/viaf/75121530/> .1. Establish the entities in your data- Person, Work, Place, Event, Concept, …2. Give them URIs<http://myedu.org/faculty/54729>3. Describe each entity- no matter how simply- don’t just transform an old record format4. Link to authoritative hubs to set your entities in context- ISNI, VIAF, ORCID, WorldCat Works, LCSH, Wikidata, …5. Use appropriate vocabularies useful for all consumersa. The vocabularies for your needsb. Appropriate for your domainc. Schema.org for everyone else6. Openly share your data- Open Data license- Return RDF from your URIs - Turtle, JSON, RDF/XML,Triples
A Linked Data Recipe<http://myedu.org/faculty/54729>!a schema:Person ;!schema:name “Prof. Green” .sameAs <https://viaf.org/viaf/75121530/> .1. Establish the entities in your data- Person, Work, Place, Event, Concept, …2. Give them URIs<http://myedu.org/faculty/54729>3. Describe each entity- no matter how simply- don’t just transform an old record format4. Link to authoritative hubs to set your entities in context- ISNI, VIAF, ORCID, WorldCat Works, LCSH, Wikidata, …5. Use appropriate vocabularies useful for all consumersa. The vocabularies for your needsb. Appropriate for your domainc. Schema.org for everyone else6. Openly share your data- Open Data license- Return RDF from your URIs - Turtle, JSON, RDF/XML,Triples- Embed Schema.org in your HTML
A Linked Data Recipe<http://myedu.org/faculty/54729>!a schema:Person ;!schema:name “Prof. Green” .sameAs <https://viaf.org/viaf/75121530/> .1. Establish the entities in your data- Person, Work, Place, Event, Concept, …2. Give them URIs<http://myedu.org/faculty/54729>3. Describe each entity- no matter how simply- don’t just transform an old record format4. Link to authoritative hubs to set your entities in context- ISNI, VIAF, ORCID, WorldCat Works, LCSH, Wikidata, …5. Use appropriate vocabularies useful for all consumersa. The vocabularies for your needsb. Appropriate for your domainc. Schema.org for everyone else6. Openly share your data- Open Data license- Return RDF from your URIs - Turtle, JSON, RDF/XML,Triples- Embed Schema.org in your HTML- Optionally add a SPARQL Endpoint to taste
Entities and Linked Data
Entities and Linked Data330 Million resources
Entities and Linked Data330 Million resources198 Million Works
Entities and Linked Data330 Million resources198 Million Works98 Million Persons
Entities and Linked Data330 Million resources198 Million Works98 Million PersonsVIAF — ISNI — FAST
https://www.wikidata.org/entity/Q937IdentifyingThe Benefit of Linked Data
IdentifyingThe Benefit of Linked DataRichard Wallis!Technology Evangelist@rjwMelbourne - 2nd July 2015

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Identifying The Benefit of Linked Data

  • 1.
    IdentifyingThe Benefit ofLinked DataRichard Wallis!Technology Evangelist@rjwMelbourne - 2nd July 2015
  • 2.
    https://www.wikidata.org/entity/Q937IdentifyingThe Benefit ofLinked DataRichard Wallis!Technology Evangelist@rjwMelbourne - 2nd July 2015
  • 11.
    NO MAN ISJUST A NUMBER
  • 12.
    NO MAN ISJUST A NUMBERhttps://www.wikidata.org/entity/Q937https://viaf.org/viaf/75121530/http://isni.org/0000000077040933http://id.loc.gov/authorities/names/n79022889http://www.imdb.com/name/nm0251868/http://data.nytimes.com/49783928729941204213http://www.researcherid.com/rid/I-6013-2012
  • 13.
    NO MAN ISJUST A NUMBERhttps://www.wikidata.org/entity/Q937https://viaf.org/viaf/75121530/http://isni.org/0000000077040933http://id.loc.gov/authorities/names/n79022889http://www.imdb.com/name/nm0251868/http://data.nytimes.com/49783928729941204213http://www.researcherid.com/rid/I-6013-2012}sameAs
  • 15.
  • 16.
  • 17.
    Linked DataRDFAnyone cansay anythingabout anything

  • 18.
    Linked DataRDFAnyone cansay anythingabout anything
..in Triples..schema:name “Albert Einstein”.<http://viaf.org/viaf/75121530>
  • 20.
  • 21.
  • 22.
    <http://ethz.ch/12345>a schema:Person ;schema:name“Albert Eistein” ;Hypothetical example
  • 23.
    <http://ethz.ch/12345>a schema:Person ;schema:name“Albert Eistein” ;schema:alumniOf <http://ethz.ch>;Hypothetical example
  • 24.
    <http://ethz.ch/12345>a schema:Person ;schema:name“Albert Eistein” ;schema:alumniOf <http://ethz.ch>;<http://ethz.ch>a schema:Organization ;schema:name “Swiss Federal Institute of Technology”;schema:url <http://www.ethz.ch>;schema:sameAs <https://www.wikidata.org/entity/Q11942>Hypothetical example
  • 25.
    <http://ethz.ch/12345>a schema:Person ;schema:name“Albert Eistein” ;schema:alumniOf <http://ethz.ch>;schema:sameAs <http://isni.org/0000000077040933>;<http://ethz.ch>a schema:Organization ;schema:name “Swiss Federal Institute of Technology”;schema:url <http://www.ethz.ch>;schema:sameAs <https://www.wikidata.org/entity/Q11942>Hypothetical example
  • 26.
    <http://ethz.ch/12345>a schema:Person ;schema:name“Albert Eistein” ;schema:alumniOf <http://ethz.ch>;schema:sameAs <http://isni.org/0000000077040933>;schema:sameAs <https://www.wikidata.org/entity/Q937><http://ethz.ch>a schema:Organization ;schema:name “Swiss Federal Institute of Technology”;schema:url <http://www.ethz.ch>;schema:sameAs <https://www.wikidata.org/entity/Q11942>Hypothetical example
  • 27.
    <http://ethz.ch/12345>a schema:Person ;schema:name“Albert Eistein” ;schema:alumniOf <http://ethz.ch>;schema:sameAs <http://isni.org/0000000077040933>;schema:sameAs <https://www.wikidata.org/entity/Q937><http://ethz.ch>a schema:Organization ;schema:name “Swiss Federal Institute of Technology”;schema:url <http://www.ethz.ch>;schema:sameAs <https://www.wikidata.org/entity/Q11942>Hypothetical example
  • 28.
    <http://ethz.ch/12345>a schema:Person ;schema:name“Albert Eistein” ;schema:alumniOf <http://ethz.ch>;schema:sameAs <http://isni.org/0000000077040933>;schema:sameAs <https://www.wikidata.org/entity/Q937><http://ethz.ch>a schema:Organization ;schema:name “Swiss Federal Institute of Technology”;schema:url <http://www.ethz.ch>;schema:sameAs <https://www.wikidata.org/entity/Q11942>Hypothetical example
  • 29.
  • 30.
    • Create andconnect identifiers — URIsLink your data
  • 31.
    • Create andconnect identifiers — URIs• Describe your resourcesLink your data
  • 32.
    • Create andconnect identifiers — URIs• Describe your resources• Use what works for youLink your data
  • 33.
    • Create andconnect identifiers — URIs• Describe your resources• Use what works for you• Expose / Publish to the WebLink your data
  • 34.
  • 35.
    Link your dataGroundyour descriptions• Set your resources in context
  • 36.
    Link your dataGroundyour descriptions• Set your resources in context• Link to hubs of authority
  • 37.
    One Hub toRule Them All?
  • 38.
    VIAF.orgOne Hub toRule Them All?A web of authoritative hubs
  • 39.
    VIAF.orgOne Hub toRule Them All?A web of authoritative hubs
  • 40.
    Its not justabout people
  • 41.
    person placeobject conceptorganizationworkIts not just about people
  • 42.
    The  library  knowledge graph
A  graph  of  relationshipsperson placeobject conceptorganization workIts not just about people
  • 47.
    Dublin CoreFOAFSKOSBibo /OADBIBFRAMERDA / MarcCIDOC CRMBio / GeoOWL /RDF / RDFSSchema.orgOntology ProjectVocabulariesWithSearch EngineRecognitionSelecting your vocabularies
  • 48.
    Dublin CoreFOAFSKOSBibo /OADBIBFRAMERDA / MarcCIDOC CRMBio / GeoOWL /RDF / RDFSSchema.orgOntology ProjectVocabulariesWithSearch EngineRecognitionSelecting your vocabularies
  • 49.
  • 50.
  • 51.
    WithSearch EngineRecognitionA generalpurpose vocabulary for describingthings on the web.
  • 52.
    WithSearch EngineRecognitionA generalpurpose vocabulary for describingthings on the web.• Backed by the Search Engines
  • 53.
    WithSearch EngineRecognitionA generalpurpose vocabulary for describingthings on the web.• Backed by the Search Engines• W3C Community- Discussion, proposals, organisation, Github
  • 54.
    WithSearch EngineRecognitionA generalpurpose vocabulary for describingthings on the web.• Backed by the Search Engines• W3C Community- Discussion, proposals, organisation, Github• A live evolving vocabulary
  • 55.
    WithSearch EngineRecognitionA generalpurpose vocabulary for describingthings on the web.• Backed by the Search Engines• W3C Community- Discussion, proposals, organisation, Github• A live evolving vocabulary• Used by millions of domains
  • 56.
    WithSearch EngineRecognitionA generalpurpose vocabulary for describingthings on the web.• Backed by the Search Engines• W3C Community- Discussion, proposals, organisation, Github• A live evolving vocabulary• Used by millions of domains• Expanding into domain specific extensions
  • 57.
  • 58.
    Used by millionsof domains640 Types (Classes)988 Properties
  • 59.
    Used by millionsof domains640 Types (Classes)988 Properties
  • 60.
    Used by millionsof domains640 Types (Classes)988 Properties
  • 61.
    Used by millionsof domains640 Types (Classes)988 Properties
  • 62.
    Used by millionsof domains640 Types (Classes)988 Properties
  • 63.
    Used by millionsof domains640 Types (Classes)988 Properties
  • 64.
    Used by millionsof domains640 Types (Classes)988 Properties
  • 65.
    Used by millionsof domains640 Types (Classes)988 Properties
  • 66.
  • 67.
  • 68.
  • 69.
  • 70.
  • 71.
  • 72.
    Extending Schema.orgwww.w3.org/community/schemabibexSchema.org extensions•Community led• Domain focused• Flat namespace• Hosted by Schema.org
  • 73.
    Extending Schema.orgwww.w3.org/community/schemabibexSchema.org extensions•Community led• Domain focused• Flat namespace• Hosted by Schema.org• Initial extensions:- bib.schema.org- auto.schema.org- ???.schema.org
  • 74.
    Dublin CoreFOAFSKOSBibo /OADBIBFRAMERDA / MarcCIDOC CRMBio / GeoOWL /RDF / RDFSSchema.orgOntology ProjectVocabulariesWithSearch EngineRecognitionSelect vocabularies with purpose
  • 75.
    Dublin CoreFOAFSKOSBibo /OADBIBFRAMERDA / MarcCIDOC CRMBio / GeoOWL /RDF / RDFSSchema.orgOntology ProjectVocabulariesWithSearch EngineRecognitionSelect vocabularies with purpose
  • 76.
    Dublin CoreFOAFSKOSBibo /OADBIBFRAMERDA / MarcCIDOC CRMBio / GeoOWL /RDF / RDFSSchema.orgOntology ProjectVocabulariesBeing discovered is !usually one purposeWithSearch EngineRecognitionSelect vocabularies with purpose
  • 77.
  • 78.
    Research:Discovering and connectingfacts,materials, sources, people,places, events, organisations …and other research.A discovery unshared is a secret
  • 79.
    Research:Discovering and connectingfacts,materials, sources, people,places, events, organisations …and other research.A discovery unshared is a secret•Identify - to share
  • 80.
    Research:Discovering and connectingfacts,materials, sources, people,places, events, organisations …and other research.A discovery unshared is a secret•Identify - to share•Identify - to link
  • 81.
    Research:Discovering and connectingfacts,materials, sources, people,places, events, organisations …and other research.A discovery unshared is a secret•Identify - to share•Identify - to link•URI - Uniform Resource Identifier
  • 82.
  • 83.
    A Linked DataRecipe1. Establish the entities in your data- Person, Work, Place, Event, Concept, …
  • 84.
    A Linked DataRecipe1. Establish the entities in your data- Person, Work, Place, Event, Concept, …2. Give them URIs<http://myedu.org/faculty/54729>
  • 85.
    A Linked DataRecipe<http://myedu.org/faculty/54729>!a schema:Person ;!schema:name “Prof. Green” .1. Establish the entities in your data- Person, Work, Place, Event, Concept, …2. Give them URIs<http://myedu.org/faculty/54729>3. Describe each entity- no matter how simply
  • 86.
    A Linked DataRecipe<http://myedu.org/faculty/54729>!a schema:Person ;!schema:name “Prof. Green” .1. Establish the entities in your data- Person, Work, Place, Event, Concept, …2. Give them URIs<http://myedu.org/faculty/54729>3. Describe each entity- no matter how simply- don’t just transform an old record format
  • 87.
    A Linked DataRecipe<http://myedu.org/faculty/54729>!a schema:Person ;!schema:name “Prof. Green” .1. Establish the entities in your data- Person, Work, Place, Event, Concept, …2. Give them URIs<http://myedu.org/faculty/54729>3. Describe each entity- no matter how simply- don’t just transform an old record format4. Link to authoritative hubs to set your entities in context
  • 88.
    A Linked DataRecipe<http://myedu.org/faculty/54729>!a schema:Person ;!schema:name “Prof. Green” .sameAs <https://viaf.org/viaf/75121530/> .1. Establish the entities in your data- Person, Work, Place, Event, Concept, …2. Give them URIs<http://myedu.org/faculty/54729>3. Describe each entity- no matter how simply- don’t just transform an old record format4. Link to authoritative hubs to set your entities in context- ISNI, VIAF, ORCID, WorldCat Works, LCSH, Wikidata, …
  • 89.
    A Linked DataRecipe<http://myedu.org/faculty/54729>!a schema:Person ;!schema:name “Prof. Green” .sameAs <https://viaf.org/viaf/75121530/> .1. Establish the entities in your data- Person, Work, Place, Event, Concept, …2. Give them URIs<http://myedu.org/faculty/54729>3. Describe each entity- no matter how simply- don’t just transform an old record format4. Link to authoritative hubs to set your entities in context- ISNI, VIAF, ORCID, WorldCat Works, LCSH, Wikidata, …5. Use appropriate vocabularies useful for all consumers
  • 90.
    A Linked DataRecipe<http://myedu.org/faculty/54729>!a schema:Person ;!schema:name “Prof. Green” .sameAs <https://viaf.org/viaf/75121530/> .1. Establish the entities in your data- Person, Work, Place, Event, Concept, …2. Give them URIs<http://myedu.org/faculty/54729>3. Describe each entity- no matter how simply- don’t just transform an old record format4. Link to authoritative hubs to set your entities in context- ISNI, VIAF, ORCID, WorldCat Works, LCSH, Wikidata, …5. Use appropriate vocabularies useful for all consumersa. The vocabularies for your needs
  • 91.
    A Linked DataRecipe<http://myedu.org/faculty/54729>!a schema:Person ;!schema:name “Prof. Green” .sameAs <https://viaf.org/viaf/75121530/> .1. Establish the entities in your data- Person, Work, Place, Event, Concept, …2. Give them URIs<http://myedu.org/faculty/54729>3. Describe each entity- no matter how simply- don’t just transform an old record format4. Link to authoritative hubs to set your entities in context- ISNI, VIAF, ORCID, WorldCat Works, LCSH, Wikidata, …5. Use appropriate vocabularies useful for all consumersa. The vocabularies for your needsb. Appropriate for your domain
  • 92.
    A Linked DataRecipe<http://myedu.org/faculty/54729>!a schema:Person ;!schema:name “Prof. Green” .sameAs <https://viaf.org/viaf/75121530/> .1. Establish the entities in your data- Person, Work, Place, Event, Concept, …2. Give them URIs<http://myedu.org/faculty/54729>3. Describe each entity- no matter how simply- don’t just transform an old record format4. Link to authoritative hubs to set your entities in context- ISNI, VIAF, ORCID, WorldCat Works, LCSH, Wikidata, …5. Use appropriate vocabularies useful for all consumersa. The vocabularies for your needsb. Appropriate for your domainc. Schema.org for everyone else
  • 93.
    A Linked DataRecipe<http://myedu.org/faculty/54729>!a schema:Person ;!schema:name “Prof. Green” .sameAs <https://viaf.org/viaf/75121530/> .1. Establish the entities in your data- Person, Work, Place, Event, Concept, …2. Give them URIs<http://myedu.org/faculty/54729>3. Describe each entity- no matter how simply- don’t just transform an old record format4. Link to authoritative hubs to set your entities in context- ISNI, VIAF, ORCID, WorldCat Works, LCSH, Wikidata, …5. Use appropriate vocabularies useful for all consumersa. The vocabularies for your needsb. Appropriate for your domainc. Schema.org for everyone else6. Openly share your data
  • 94.
    A Linked DataRecipe<http://myedu.org/faculty/54729>!a schema:Person ;!schema:name “Prof. Green” .sameAs <https://viaf.org/viaf/75121530/> .1. Establish the entities in your data- Person, Work, Place, Event, Concept, …2. Give them URIs<http://myedu.org/faculty/54729>3. Describe each entity- no matter how simply- don’t just transform an old record format4. Link to authoritative hubs to set your entities in context- ISNI, VIAF, ORCID, WorldCat Works, LCSH, Wikidata, …5. Use appropriate vocabularies useful for all consumersa. The vocabularies for your needsb. Appropriate for your domainc. Schema.org for everyone else6. Openly share your data- Open Data license
  • 95.
    A Linked DataRecipe<http://myedu.org/faculty/54729>!a schema:Person ;!schema:name “Prof. Green” .sameAs <https://viaf.org/viaf/75121530/> .1. Establish the entities in your data- Person, Work, Place, Event, Concept, …2. Give them URIs<http://myedu.org/faculty/54729>3. Describe each entity- no matter how simply- don’t just transform an old record format4. Link to authoritative hubs to set your entities in context- ISNI, VIAF, ORCID, WorldCat Works, LCSH, Wikidata, …5. Use appropriate vocabularies useful for all consumersa. The vocabularies for your needsb. Appropriate for your domainc. Schema.org for everyone else6. Openly share your data- Open Data license- Return RDF from your URIs - Turtle, JSON, RDF/XML,Triples
  • 96.
    A Linked DataRecipe<http://myedu.org/faculty/54729>!a schema:Person ;!schema:name “Prof. Green” .sameAs <https://viaf.org/viaf/75121530/> .1. Establish the entities in your data- Person, Work, Place, Event, Concept, …2. Give them URIs<http://myedu.org/faculty/54729>3. Describe each entity- no matter how simply- don’t just transform an old record format4. Link to authoritative hubs to set your entities in context- ISNI, VIAF, ORCID, WorldCat Works, LCSH, Wikidata, …5. Use appropriate vocabularies useful for all consumersa. The vocabularies for your needsb. Appropriate for your domainc. Schema.org for everyone else6. Openly share your data- Open Data license- Return RDF from your URIs - Turtle, JSON, RDF/XML,Triples- Embed Schema.org in your HTML
  • 97.
    A Linked DataRecipe<http://myedu.org/faculty/54729>!a schema:Person ;!schema:name “Prof. Green” .sameAs <https://viaf.org/viaf/75121530/> .1. Establish the entities in your data- Person, Work, Place, Event, Concept, …2. Give them URIs<http://myedu.org/faculty/54729>3. Describe each entity- no matter how simply- don’t just transform an old record format4. Link to authoritative hubs to set your entities in context- ISNI, VIAF, ORCID, WorldCat Works, LCSH, Wikidata, …5. Use appropriate vocabularies useful for all consumersa. The vocabularies for your needsb. Appropriate for your domainc. Schema.org for everyone else6. Openly share your data- Open Data license- Return RDF from your URIs - Turtle, JSON, RDF/XML,Triples- Embed Schema.org in your HTML- Optionally add a SPARQL Endpoint to taste
  • 98.
  • 99.
    Entities and LinkedData330 Million resources
  • 100.
    Entities and LinkedData330 Million resources198 Million Works
  • 101.
    Entities and LinkedData330 Million resources198 Million Works98 Million Persons
  • 102.
    Entities and LinkedData330 Million resources198 Million Works98 Million PersonsVIAF — ISNI — FAST
  • 109.
  • 110.
    IdentifyingThe Benefit ofLinked DataRichard Wallis!Technology Evangelist@rjwMelbourne - 2nd July 2015
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