SlideShare uma empresa Scribd logo
1 de 31
Linked Data
A short(-ish) introduction
Bricolage Project meeting, Bristol, 26 Jan 2012

Pete Johnston
  Technical Researcher, Eduserv
  pete.johnston@eduserv.org.uk
Document Web Principles

• Use URIs as names of documents
• Use http URIs, so that people can use HTTP protocol to
  look up those names
• When someone looks up a URI, provide the document
  (*)
• Use document standards, e.g. HTML
• Include links to other documents, so that people can
  discover more documents
Use URIs as names of documents




   http://en.wikipedia.org/wiki/D.H._Lawrence
Use http URIs…




   http://en.wikipedia.org/wiki/D.H._Lawrence
Provide the documents
Use document standards
Include links to other docs
                 • Links typically “untyped”
                 <a href="/wiki/Eastwood,_Nottinghamshire"
                    title="Eastwood, Nottinghamshire">Eastwood</a>
                 <a href="/wiki/Lady_Chatterley%27s_Lover" title="Lady
                    Chatterley's Lover">Lady Chatterley's Lover</a>
                 <a href="/wiki/Joseph_Conrad"
                    title="Joseph Conrad">Joseph Conrad</a>

                    Occasionally “typed”
                 <link rel="copyright“
                       href=“http://creativecommons.org/licenses/by-sa/3.0/" />
(*) On “providing the document”: content negotiation

• Client HTTP request for doc includes info about
  preferences, e.g.
   • Language (Prefer English, but will accept Spanish)
   • Media-type (Prefer XHTML, but will accept
     HTML, plain text)
• Server responds with representation of doc which best
  matches preferences
Linked Data Principles (a version!)

• Use URIs as names of things
   • people, places, concepts, documents… anything!
   • (avoid URI ambiguity)
• Use http URIs so that people and programs can look up
  those names
• When a person or program looks up a name, provide
  (representations of) documents about the things
Linked Data Principles (a version!)

   Use data standards: RDF
   Include typed links to other things
      so that people and programs can discover other

        things
Use URIs as names of things




   http://dbpedia.org/resource/D.H._Lawrence
Use http URIs…




  http://dbpedia.org/resource/D.H._Lawrence
Provide documents about those things…


                      Thing:
   http://dbpedia.org/resource/D.H._Lawrence

                    Document:
     http://dbpedia.org/page/D.H._Lawrence
…with representations suitable for people…
…and representations suitable for programs
Use data standards: RDF

• A way to model data
• Assertions of relationships between two things
• Triples: subject, predicate, object
       DH Lawrence
       has-notable-work
       Lady Chatterley's Lover
Use data standards: RDF

• Triples: use URIs as “words”/names
       <http://dbpedia.org/resource/D._H._Lawrence>
       <http://dbpedia.org/ontology/notableWork>
       <http://dbpedia.org/resource/Lady_Chatterley%27s_
       Lover>
• In RDF syntaxes, URIs often abbreviated
   • dbpedia:D._H._Lawrence
Use data standards: RDF

• Extensibility of vocabulary
• Reuse of vocabulary
• “Self-description”
   • vocabulary terms described using RDF
• Rules for data merging/integration
• “Formal semantics”, basis for inferencing
Include typed links to other things

dbpedia:D._H._Lawrence
   dbp-owl:birthPlace
       dbpedia:Eastwood,_Nottinghamshire ;
   dbp-owl:notableWork
       dbpedia:Lady_Chatterley%27s_Lover ;
   dbp-owl:influencedBy
       dbpedia:Joseph_Conrad .
“Linked data is data you can click on”
            (?John Sheridan, National Archives)
Linked Data from British Library: D. H. Lawrence
Linked Data from OCLC VIAF: D. H. Lawrence
Linked Data from Freebase: D. H. Lawrence
Linked Data from BBC:
Programmes related to D. H. Lawrence
Archives Hub EAD data: D. H. Lawrence letters
Sindice/Sig.ma: RDF data aggregator/search
RDF & Linked Data: some strengths/features

• Designed for the Web, “open world”
   • Anyone can say anything about anything
   • No-one says everything about anything
• Extensible, decentralised
• Rules for data merging/integration
• Inferencing
RDF & Linked Data: Some challenges

   New concepts, formats, tools
   (Re)modelling/migration/conversion
   Linking & identity
   Versioning & time
   Trust
How?

•   Model our “world”
•   Design URI patterns
•   Select/create RDF vocabularies
•   Convert/transform data
•   Generate links
•   Publish/expose data
Acknowledgements / some useful sources

• Tom Heath & Chris Bizer, Linked Data: Evolving the Web into a Global Data
  Space
  http://linkeddatabook.com/
• Yves Raimond & Michael Smethurst, “A skim-read introduction to linked data”
  http://www.bbc.co.uk/blogs/radiolabs/s5/linked-data/s5.html
• Dave Reynolds, “Linked data and its role in the semantic web”
  http://www.slideshare.net/der42/introduction-to-linked-data-and-the-semantic-
  web-8700415
Linked Data
A short(-ish) introduction
Bricolage Project meeting, Bristol, 26 Jan 2012

Pete Johnston
  Technical Researcher, Eduserv
  pete.johnston@eduserv.org.uk

Mais conteúdo relacionado

Mais procurados

Linked Data Principles and RDF: University of Florida Libraries, BIBFRAME Wor...
Linked Data Principles and RDF: University of Florida Libraries, BIBFRAME Wor...Linked Data Principles and RDF: University of Florida Libraries, BIBFRAME Wor...
Linked Data Principles and RDF: University of Florida Libraries, BIBFRAME Wor...Allison Jai O'Dell
 
Madrid Building blocks of Linked Data
Madrid Building blocks of Linked DataMadrid Building blocks of Linked Data
Madrid Building blocks of Linked DataVictor de Boer
 
Linked Data - the Future for Open Repositories?
Linked Data - the Future for Open Repositories?Linked Data - the Future for Open Repositories?
Linked Data - the Future for Open Repositories?Adrian Stevenson
 
Archives Hub - Data in :: Data out
Archives Hub - Data in :: Data outArchives Hub - Data in :: Data out
Archives Hub - Data in :: Data outJane Stevenson
 
Lifting the Lid on Linked Data
Lifting the Lid on Linked DataLifting the Lid on Linked Data
Lifting the Lid on Linked DataJane Stevenson
 
Analysing Structured Scholarly Data Embedded in Web Pages
Analysing Structured Scholarly Data Embedded in Web PagesAnalysing Structured Scholarly Data Embedded in Web Pages
Analysing Structured Scholarly Data Embedded in Web PagesUjwal Gadiraju
 
Linked data 101: Getting Caught in the Semantic Web
Linked data 101: Getting Caught in the Semantic Web Linked data 101: Getting Caught in the Semantic Web
Linked data 101: Getting Caught in the Semantic Web Morgan Briles
 
LOD/LAM Presentation
LOD/LAM PresentationLOD/LAM Presentation
LOD/LAM PresentationHafabe
 
Open Data - Principles and Techniques
Open Data - Principles and TechniquesOpen Data - Principles and Techniques
Open Data - Principles and TechniquesBernhard Haslhofer
 
What Are Links in Linked Open Data? A Characterization and Evaluation of Link...
What Are Links in Linked Open Data? A Characterization and Evaluation of Link...What Are Links in Linked Open Data? A Characterization and Evaluation of Link...
What Are Links in Linked Open Data? A Characterization and Evaluation of Link...Armin Haller
 
Data Publishing Models by Sünje Dallmeier-Tiessen
Data Publishing Models by Sünje Dallmeier-TiessenData Publishing Models by Sünje Dallmeier-Tiessen
Data Publishing Models by Sünje Dallmeier-Tiessendatascienceiqss
 
Search search search
Search search searchSearch search search
Search search searchAndy Dai
 

Mais procurados (20)

Open data and linked data
Open data and linked dataOpen data and linked data
Open data and linked data
 
Linked Data Principles and RDF: University of Florida Libraries, BIBFRAME Wor...
Linked Data Principles and RDF: University of Florida Libraries, BIBFRAME Wor...Linked Data Principles and RDF: University of Florida Libraries, BIBFRAME Wor...
Linked Data Principles and RDF: University of Florida Libraries, BIBFRAME Wor...
 
Madrid Building blocks of Linked Data
Madrid Building blocks of Linked DataMadrid Building blocks of Linked Data
Madrid Building blocks of Linked Data
 
April 8 NISO Webinar: Experimenting with BIBFRAME: Reports from Early Adopters
April 8 NISO Webinar: Experimenting with BIBFRAME: Reports from Early AdoptersApril 8 NISO Webinar: Experimenting with BIBFRAME: Reports from Early Adopters
April 8 NISO Webinar: Experimenting with BIBFRAME: Reports from Early Adopters
 
Introducing linked data
Introducing linked dataIntroducing linked data
Introducing linked data
 
Clark - Metadata is the Message
Clark - Metadata is the MessageClark - Metadata is the Message
Clark - Metadata is the Message
 
Linked Data - the Future for Open Repositories?
Linked Data - the Future for Open Repositories?Linked Data - the Future for Open Repositories?
Linked Data - the Future for Open Repositories?
 
Archives Hub - Data in :: Data out
Archives Hub - Data in :: Data outArchives Hub - Data in :: Data out
Archives Hub - Data in :: Data out
 
Thompson 6-jun15-final
Thompson 6-jun15-finalThompson 6-jun15-final
Thompson 6-jun15-final
 
Lifting the Lid on Linked Data
Lifting the Lid on Linked DataLifting the Lid on Linked Data
Lifting the Lid on Linked Data
 
Analysing Structured Scholarly Data Embedded in Web Pages
Analysing Structured Scholarly Data Embedded in Web PagesAnalysing Structured Scholarly Data Embedded in Web Pages
Analysing Structured Scholarly Data Embedded in Web Pages
 
Linked data 101: Getting Caught in the Semantic Web
Linked data 101: Getting Caught in the Semantic Web Linked data 101: Getting Caught in the Semantic Web
Linked data 101: Getting Caught in the Semantic Web
 
LOD/LAM Presentation
LOD/LAM PresentationLOD/LAM Presentation
LOD/LAM Presentation
 
Open Data - Principles and Techniques
Open Data - Principles and TechniquesOpen Data - Principles and Techniques
Open Data - Principles and Techniques
 
Gonzalez-8-jun15
Gonzalez-8-jun15Gonzalez-8-jun15
Gonzalez-8-jun15
 
Introduction to the Semantic Web
Introduction to the Semantic WebIntroduction to the Semantic Web
Introduction to the Semantic Web
 
What Are Links in Linked Open Data? A Characterization and Evaluation of Link...
What Are Links in Linked Open Data? A Characterization and Evaluation of Link...What Are Links in Linked Open Data? A Characterization and Evaluation of Link...
What Are Links in Linked Open Data? A Characterization and Evaluation of Link...
 
Data Publishing Models by Sünje Dallmeier-Tiessen
Data Publishing Models by Sünje Dallmeier-TiessenData Publishing Models by Sünje Dallmeier-Tiessen
Data Publishing Models by Sünje Dallmeier-Tiessen
 
Search search search
Search search searchSearch search search
Search search search
 
LIBRIS - Linked Library Data
LIBRIS - Linked Library DataLIBRIS - Linked Library Data
LIBRIS - Linked Library Data
 

Semelhante a Linked Data: A short(-ish) introduction

Publishing and Using Linked Open Data - Day 1
Publishing and Using Linked Open Data - Day 1 Publishing and Using Linked Open Data - Day 1
Publishing and Using Linked Open Data - Day 1 Richard Urban
 
Publishing data on the Semantic Web
Publishing data on the Semantic WebPublishing data on the Semantic Web
Publishing data on the Semantic WebPeter Mika
 
DBpedia Mappings Wiki, SMWCon Fall 2013, Berlin
DBpedia Mappings Wiki, SMWCon Fall 2013, BerlinDBpedia Mappings Wiki, SMWCon Fall 2013, Berlin
DBpedia Mappings Wiki, SMWCon Fall 2013, BerlinAnja Jentzsch
 
Linked data for librarians
Linked data for librariansLinked data for librarians
Linked data for librarianstrevorthornton
 
Introduction to linked data
Introduction to linked dataIntroduction to linked data
Introduction to linked dataLaura Po
 
Linked Open Data Fundamentals for Libraries, Archives and Museums
Linked Open Data Fundamentals for Libraries, Archives and MuseumsLinked Open Data Fundamentals for Libraries, Archives and Museums
Linked Open Data Fundamentals for Libraries, Archives and Museumstrevorthornton
 
Engineering a Semantic Web: ITWS Capstone Lecture (Spring 2014)
Engineering a Semantic Web: ITWS Capstone Lecture (Spring 2014)Engineering a Semantic Web: ITWS Capstone Lecture (Spring 2014)
Engineering a Semantic Web: ITWS Capstone Lecture (Spring 2014)Rensselaer Polytechnic Institute
 
One day workshop Linked Data and Semantic Web
One day workshop Linked Data and Semantic WebOne day workshop Linked Data and Semantic Web
One day workshop Linked Data and Semantic WebVictor de Boer
 
Transmission6 - Publishing Linked Data
Transmission6 - Publishing Linked DataTransmission6 - Publishing Linked Data
Transmission6 - Publishing Linked DataBill Roberts
 
Linked Data (1st Linked Data Meetup Malmö)
Linked Data (1st Linked Data Meetup Malmö)Linked Data (1st Linked Data Meetup Malmö)
Linked Data (1st Linked Data Meetup Malmö)Anja Jentzsch
 
TPDL2013 tutorial linked data for digital libraries 2013-10-22
TPDL2013 tutorial linked data for digital libraries 2013-10-22TPDL2013 tutorial linked data for digital libraries 2013-10-22
TPDL2013 tutorial linked data for digital libraries 2013-10-22jodischneider
 
Informal presentation about RES
Informal presentation about RESInformal presentation about RES
Informal presentation about RESChristophe Guéret
 
Linked Data for Czech Legislation
Linked Data for Czech LegislationLinked Data for Czech Legislation
Linked Data for Czech LegislationMartin Necasky
 
Making Use of the Linked Open Data Services for OpenAIRE (DI4R 2016 tutorial ...
Making Use of the Linked Open Data Services for OpenAIRE (DI4R 2016 tutorial ...Making Use of the Linked Open Data Services for OpenAIRE (DI4R 2016 tutorial ...
Making Use of the Linked Open Data Services for OpenAIRE (DI4R 2016 tutorial ...OpenAIRE
 

Semelhante a Linked Data: A short(-ish) introduction (20)

Publishing and Using Linked Open Data - Day 1
Publishing and Using Linked Open Data - Day 1 Publishing and Using Linked Open Data - Day 1
Publishing and Using Linked Open Data - Day 1
 
Publishing data on the Semantic Web
Publishing data on the Semantic WebPublishing data on the Semantic Web
Publishing data on the Semantic Web
 
DBpedia Mappings Wiki, SMWCon Fall 2013, Berlin
DBpedia Mappings Wiki, SMWCon Fall 2013, BerlinDBpedia Mappings Wiki, SMWCon Fall 2013, Berlin
DBpedia Mappings Wiki, SMWCon Fall 2013, Berlin
 
Linked data for librarians
Linked data for librariansLinked data for librarians
Linked data for librarians
 
Introduction to linked data
Introduction to linked dataIntroduction to linked data
Introduction to linked data
 
Linked Open Data Fundamentals for Libraries, Archives and Museums
Linked Open Data Fundamentals for Libraries, Archives and MuseumsLinked Open Data Fundamentals for Libraries, Archives and Museums
Linked Open Data Fundamentals for Libraries, Archives and Museums
 
Linked Data
Linked DataLinked Data
Linked Data
 
Linked Data
Linked DataLinked Data
Linked Data
 
Web of Data Usage Mining
Web of Data Usage MiningWeb of Data Usage Mining
Web of Data Usage Mining
 
Webofdata
WebofdataWebofdata
Webofdata
 
Engineering a Semantic Web: ITWS Capstone Lecture (Spring 2014)
Engineering a Semantic Web: ITWS Capstone Lecture (Spring 2014)Engineering a Semantic Web: ITWS Capstone Lecture (Spring 2014)
Engineering a Semantic Web: ITWS Capstone Lecture (Spring 2014)
 
One day workshop Linked Data and Semantic Web
One day workshop Linked Data and Semantic WebOne day workshop Linked Data and Semantic Web
One day workshop Linked Data and Semantic Web
 
Transmission6 - Publishing Linked Data
Transmission6 - Publishing Linked DataTransmission6 - Publishing Linked Data
Transmission6 - Publishing Linked Data
 
Linking up your data
Linking up your dataLinking up your data
Linking up your data
 
Linked Data (1st Linked Data Meetup Malmö)
Linked Data (1st Linked Data Meetup Malmö)Linked Data (1st Linked Data Meetup Malmö)
Linked Data (1st Linked Data Meetup Malmö)
 
Ld4 dh tutorial
Ld4 dh tutorialLd4 dh tutorial
Ld4 dh tutorial
 
TPDL2013 tutorial linked data for digital libraries 2013-10-22
TPDL2013 tutorial linked data for digital libraries 2013-10-22TPDL2013 tutorial linked data for digital libraries 2013-10-22
TPDL2013 tutorial linked data for digital libraries 2013-10-22
 
Informal presentation about RES
Informal presentation about RESInformal presentation about RES
Informal presentation about RES
 
Linked Data for Czech Legislation
Linked Data for Czech LegislationLinked Data for Czech Legislation
Linked Data for Czech Legislation
 
Making Use of the Linked Open Data Services for OpenAIRE (DI4R 2016 tutorial ...
Making Use of the Linked Open Data Services for OpenAIRE (DI4R 2016 tutorial ...Making Use of the Linked Open Data Services for OpenAIRE (DI4R 2016 tutorial ...
Making Use of the Linked Open Data Services for OpenAIRE (DI4R 2016 tutorial ...
 

Último

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdflior mazor
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024The Digital Insurer
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century educationjfdjdjcjdnsjd
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyKhushali Kathiriya
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherRemote DBA Services
 
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsTop 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsRoshan Dwivedi
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businesspanagenda
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...apidays
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MIND CTI
 
Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024SynarionITSolutions
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...apidays
 

Último (20)

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsTop 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 

Linked Data: A short(-ish) introduction

  • 1. Linked Data A short(-ish) introduction Bricolage Project meeting, Bristol, 26 Jan 2012 Pete Johnston Technical Researcher, Eduserv pete.johnston@eduserv.org.uk
  • 2. Document Web Principles • Use URIs as names of documents • Use http URIs, so that people can use HTTP protocol to look up those names • When someone looks up a URI, provide the document (*) • Use document standards, e.g. HTML • Include links to other documents, so that people can discover more documents
  • 3. Use URIs as names of documents http://en.wikipedia.org/wiki/D.H._Lawrence
  • 4. Use http URIs… http://en.wikipedia.org/wiki/D.H._Lawrence
  • 7. Include links to other docs • Links typically “untyped” <a href="/wiki/Eastwood,_Nottinghamshire" title="Eastwood, Nottinghamshire">Eastwood</a> <a href="/wiki/Lady_Chatterley%27s_Lover" title="Lady Chatterley's Lover">Lady Chatterley's Lover</a> <a href="/wiki/Joseph_Conrad" title="Joseph Conrad">Joseph Conrad</a>  Occasionally “typed” <link rel="copyright“ href=“http://creativecommons.org/licenses/by-sa/3.0/" />
  • 8. (*) On “providing the document”: content negotiation • Client HTTP request for doc includes info about preferences, e.g. • Language (Prefer English, but will accept Spanish) • Media-type (Prefer XHTML, but will accept HTML, plain text) • Server responds with representation of doc which best matches preferences
  • 9. Linked Data Principles (a version!) • Use URIs as names of things • people, places, concepts, documents… anything! • (avoid URI ambiguity) • Use http URIs so that people and programs can look up those names • When a person or program looks up a name, provide (representations of) documents about the things
  • 10. Linked Data Principles (a version!)  Use data standards: RDF  Include typed links to other things  so that people and programs can discover other things
  • 11. Use URIs as names of things http://dbpedia.org/resource/D.H._Lawrence
  • 12. Use http URIs… http://dbpedia.org/resource/D.H._Lawrence
  • 13. Provide documents about those things… Thing: http://dbpedia.org/resource/D.H._Lawrence Document: http://dbpedia.org/page/D.H._Lawrence
  • 16. Use data standards: RDF • A way to model data • Assertions of relationships between two things • Triples: subject, predicate, object DH Lawrence has-notable-work Lady Chatterley's Lover
  • 17. Use data standards: RDF • Triples: use URIs as “words”/names <http://dbpedia.org/resource/D._H._Lawrence> <http://dbpedia.org/ontology/notableWork> <http://dbpedia.org/resource/Lady_Chatterley%27s_ Lover> • In RDF syntaxes, URIs often abbreviated • dbpedia:D._H._Lawrence
  • 18. Use data standards: RDF • Extensibility of vocabulary • Reuse of vocabulary • “Self-description” • vocabulary terms described using RDF • Rules for data merging/integration • “Formal semantics”, basis for inferencing
  • 19. Include typed links to other things dbpedia:D._H._Lawrence dbp-owl:birthPlace dbpedia:Eastwood,_Nottinghamshire ; dbp-owl:notableWork dbpedia:Lady_Chatterley%27s_Lover ; dbp-owl:influencedBy dbpedia:Joseph_Conrad .
  • 20. “Linked data is data you can click on” (?John Sheridan, National Archives)
  • 21. Linked Data from British Library: D. H. Lawrence
  • 22. Linked Data from OCLC VIAF: D. H. Lawrence
  • 23. Linked Data from Freebase: D. H. Lawrence
  • 24. Linked Data from BBC: Programmes related to D. H. Lawrence
  • 25. Archives Hub EAD data: D. H. Lawrence letters
  • 26. Sindice/Sig.ma: RDF data aggregator/search
  • 27. RDF & Linked Data: some strengths/features • Designed for the Web, “open world” • Anyone can say anything about anything • No-one says everything about anything • Extensible, decentralised • Rules for data merging/integration • Inferencing
  • 28. RDF & Linked Data: Some challenges  New concepts, formats, tools  (Re)modelling/migration/conversion  Linking & identity  Versioning & time  Trust
  • 29. How? • Model our “world” • Design URI patterns • Select/create RDF vocabularies • Convert/transform data • Generate links • Publish/expose data
  • 30. Acknowledgements / some useful sources • Tom Heath & Chris Bizer, Linked Data: Evolving the Web into a Global Data Space http://linkeddatabook.com/ • Yves Raimond & Michael Smethurst, “A skim-read introduction to linked data” http://www.bbc.co.uk/blogs/radiolabs/s5/linked-data/s5.html • Dave Reynolds, “Linked data and its role in the semantic web” http://www.slideshare.net/der42/introduction-to-linked-data-and-the-semantic- web-8700415
  • 31. Linked Data A short(-ish) introduction Bricolage Project meeting, Bristol, 26 Jan 2012 Pete Johnston Technical Researcher, Eduserv pete.johnston@eduserv.org.uk