Identifying The Benefit of Linked Data

Identifying The Benefit of Linked Data

Richard Wallis!Technology Evangelist

@rjw

Melbourne - 2nd July 2015

https://www.wikidata.org/entity/Q937



@rjw


NO MAN IS JUST A NUMBER



https://viaf.org/viaf/75121530/

http://isni.org/0000000077040933

http://id.loc.gov/authorities/names/n79022889

http://www.imdb.com/name/nm0251868/

http://data.nytimes.com/49783928729941204213

http://www.researcherid.com/rid/I-6013-2012



https://viaf.org/viaf/75121530/

http://isni.org/0000000077040933

http://id.loc.gov/authorities/names/n79022889

http://www.imdb.com/name/nm0251868/

http://data.nytimes.com/49783928729941204213

http://www.researcherid.com/rid/I-6013-2012

}sameAs

Linked Data

Linked Data

RDF

Linked Data

RDF

Anyone can say anything about anything

Linked Data

RDF

Anyone can say anything about 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 ;


<http://ethz.ch/12345>a schema:Person ;schema:name “Albert Eistein” ;


<http://ethz.ch/12345>a schema:Person ;schema:name “Albert Eistein” ;schema:alumniOf <http://ethz.ch>;


<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>


<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/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>









Link your data

• Create and connect identifiers — URIs

Link your data

• Create and connect identifiers — URIs• Describe your resources

Link your data

• Create and connect identifiers — URIs• Describe your resources• Use what works for you

Link your data

• Create and connect identifiers — URIs• Describe your resources• Use what works for you• Expose / Publish to the Web

Link your data

Link your data

Link your data

Ground your descriptions

• Set your resources in context

Link your data

Ground your descriptions

• Set your resources in context• Link to hubs of authority

One Hub to Rule Them All?

VIAF.org


A web of authoritative hubs

VIAF.org


A web of authoritative hubs

Its not just about people

person place

object concept

organization work


The library knowledge graphA graph of relationships

person place

object concept

organization work


Dublin CoreFOAF

SKOSBibo / OAD

BIBFRAME

RDA / MarcCIDOC CRM

Bio / Geo

OWL / RDF / RDFS

Schema.org

Ontology Project Vocabularies

With

Search Engine

Recognition

Selecting your vocabularies

Dublin CoreFOAF

SKOSBibo / OAD

BIBFRAME

RDA / MarcCIDOC CRM

Bio / Geo

OWL / RDF / RDFS

Schema.org


With Search Engine Recognition

Selecting your vocabularies


With

Search Engine

Recognition

With

Search Engine

Recognition

A general purpose vocabulary for describing things on the web.

With

Search Engine

Recognition


• Backed by the Search Engines

With

Search Engine

Recognition


• Backed by the Search Engines• W3C Community

- Discussion, proposals, organisation, Github

With

Search Engine

Recognition



- Discussion, proposals, organisation, Github• A live evolving vocabulary

With

Search Engine

Recognition



- Discussion, proposals, organisation, Github• A live evolving vocabulary• Used by millions of domains

With

Search Engine

Recognition



- Discussion, proposals, organisation, Github• A live evolving vocabulary• Used by millions of domains • Expanding into domain specific extensions

Used by millions of domains


640 Types (Classes)988 Properties















Extending Schema.org


www.w3.org/community/schemabibex





Schema.org extensions• Community led



Schema.org extensions• Community led• Domain focused



Schema.org extensions• Community led• Domain focused• Flat namespace



Schema.org extensions• Community led• Domain focused• Flat namespace• Hosted by Schema.org



Schema.org extensions• Community led• Domain focused• Flat namespace• Hosted by Schema.org• Initial extensions:- bib.schema.org- auto.schema.org- ???.schema.org

Dublin CoreFOAF

SKOSBibo / OAD

BIBFRAME

RDA / MarcCIDOC CRM

Bio / Geo

OWL / RDF / RDFS

Schema.org



Select vocabularies with purpose

Dublin CoreFOAF

SKOSBibo / OAD

BIBFRAME

RDA / MarcCIDOC CRM

Bio / Geo

OWL / RDF / RDFS

Schema.org


With

Search Engine

Recognition


Dublin CoreFOAF

SKOSBibo / OAD

BIBFRAME

RDA / MarcCIDOC CRM

Bio / Geo

OWL / RDF / RDFS

Schema.org


Being discovered is !usually one purpose

With

Search Engine

Recognition


Research:

A discovery unshared is a secret

Research:Discovering and connecting facts,

materials, sources, people,places, events, organisations …

and other research.




and other research.


• Identify - to share



and other research.


• Identify - to share• Identify - to link



and other research.


• 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>


<http://myedu.org/faculty/54729>!

a schema:Person ;!

schema:name “Prof. Green” .

1. Establish the entities in your data- Person, Work, Place, Event, Concept, …


3. Describe each entity- no matter how simply



a schema:Person ;!




3. Describe each entity- no matter how simply- don’t just transform an old record format



a schema:Person ;!





4. Link to authoritative hubs to set your entities in context



a schema:Person ;!


sameAs

<http

s://vi

af.org

/viaf/

751215

30/> .




4. Link to authoritative hubs to set your entities in context- ISNI, VIAF, ORCID, WorldCat Works, LCSH, Wikidata, …



a schema:Person ;!


sameAs

<http

s://vi

af.org

/viaf/

751215

30/> .





5. Use appropriate vocabularies useful for all consumers



a schema:Person ;!


sameAs

<http

s://vi

af.org

/viaf/

751215

30/> .





5. Use appropriate vocabularies useful for all consumersa. The vocabularies for your needs



a schema:Person ;!


sameAs

<http

s://vi

af.org

/viaf/

751215

30/> .





5. Use appropriate vocabularies useful for all consumersa. The vocabularies for your needsb. Appropriate for your domain



a schema:Person ;!


sameAs

<http

s://vi

af.org

/viaf/

751215

30/> .





5. Use appropriate vocabularies useful for all consumersa. The vocabularies for your needsb. Appropriate for your domainc. Schema.org for everyone else



a schema:Person ;!


sameAs

<http

s://vi

af.org

/viaf/

751215

30/> .






6. Openly share your data



a schema:Person ;!


sameAs

<http

s://vi

af.org

/viaf/

751215

30/> .






6. Openly share your data- Open Data license



a schema:Person ;!


sameAs

<http

s://vi

af.org

/viaf/

751215

30/> .






6. Openly share your data- Open Data license- Return RDF from your URIs - Turtle, JSON, RDF/XML,Triples



a schema:Person ;!


sameAs

<http

s://vi

af.org

/viaf/

751215

30/> .






6. Openly share your data- Open Data license- Return RDF from your URIs - Turtle, JSON, RDF/XML,Triples- Embed Schema.org in your HTML



a schema:Person ;!


sameAs

<http

s://vi

af.org

/viaf/

751215

30/> .






6. 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


330 Million resources



198 Million Works



198 Million Works

98 Million Persons



198 Million Works

98 Million Persons

VIAF — ISNI — FAST





@rjw


Data & Analytics

Identifying The Benefit of Linked Data