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An Introduction to Linked Data and Microdata

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An introduction to Linked Data and Microdata presented by Kris Carpenter-Negulescu, Richard Rodgers, and Matt Zumwalt at the 2011 DLF Forum

An introduction to Linked Data and Microdata presented by Kris Carpenter-Negulescu, Richard Rodgers, and Matt Zumwalt at the 2011 DLF Forum

Published in: Technology, Education

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  • 1. An Introduction to Linked Data and Microdata
  • 2. Today We’re Linking Data!● If something is identified, it can be linked to, shared, talked about...● Lets make items from our collections linkable to items from other collections! NYTimes Archive.org VIAF DBPedia GeoNames YOUR DATA
  • 3. The goal of Linked Data isto enable people to sharestructured (information) onthe Web as easily as theyshare documents today.Bizer/Cyganiak/Heath Linked Data Tutorial, linkeddata.orgAdrian Stevensen, UK Web Archives
  • 4. Linked Data Design Issues ● URIs ● LD Design Issues ● Tripleshttp://www.w3.org/DesignIssues/LinkedData.
  • 5. “The Graph” as an Organizational Data ModelLinked Data includes a paradigm shift from the relational orhierarchical means of modelling data to a graph based model…
  • 6. Resource Description Format (RDF)● RDF = defined statements comprising a subject, a predicate (property), and an object. These statements are called “Triples”.
  • 7. Triples for Humans● Triples are statements that describe relationships or links between things ○ The New York dc:publisher Times Is a Publisher of News Articles Dave (foaf:member) The Dave Matthews Is Member of Matthews Band
  • 8. Triples for MachinesTriples can be serialized in many differentways including ● Resource Description Format ● RDF/XML ● RDFa ● N3 ● Turtle ● etc.but they all describe things in the<subject><predicate><object> formatDescription Formats must be consistent and
  • 9. Assigning Meaning to Your DataRDF doesnt offer any means to record semantics or meaning.LOD vocabularies and ontologies provide a framework fordetermining how we organize information and how we agree onpredicates… ● RDF Schema (RDFS) ● Ontologies: FOAF, VIAF, OWL (Web Ontology Language), etc. ● Schema.org/Microdata/RDFa 1.1
  • 10. Machine Access/Querying Your DataSPARQL –provides a formal language with which toask meaning-driven questions of RDF data sets
  • 11. Attribution and CC License ● Sections of this presentation adapted from materials created by other participants in the LOD-LAM Community ● This presentation available under creative commons Non Commercial-Share Alike:http://creativecommons.org/licenses/by-nc/2.0/