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Linked data intro primer

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Part 1 of a Linked Data Workshop for library staff at University of Oregon and Oregon State University Libraries.

Part 1 of a Linked Data Workshop for library staff at University of Oregon and Oregon State University Libraries.

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  • 1. Linked Data Principles Oregon Digital Linked Data Workshop, Eugene, Oregon November 25, 2013 Tom Johnson thomas. johnson@oregonstate.edu
  • 2. 4 Principles 1. Use URIs as names for things 2. Use HTTP URIs so that people can look up those names. 3. When someone looks up a URI, provide useful information, using the standards (RDF*, SPARQL) 4. Include links to other URIs. so that they can discover more things.
  • 3. Subject, Predicate, Object Subject Predicate <http://example. org/object1> <http://purl.org/dcterms/title> <http://example. org/object1> <http://purl.org/dcterms/isPartOf> Object “Example Title” <http://example. org/collection1>
  • 4. What is a Graph?
  • 5. Data Model Example
  • 6. Serializing N-Triples: <http://example.org/1> <http://purl.org/dcterms/title> “Comet in Moominland”@en . <http://example.org/1> <http://purl.org/dcterms/title> “Mumintrollet på kometjakt”@sv . <http://example.org/1> <http://purl.org/dcterms/creator> <http://example. org/person/tjannson> . <http://example.org/1> <http://purl.org/dcterms/subject> <http://id.loc. gov/authorities/subjects/sh2001004219> . <http://id.loc.gov/authorities/subjects/sh2001004219> <http://www.w3. org/2004/02/skos/core#prefLabel> "Moomins (Fictitious characters)"@en . <http://example.org/person/tjannson> <http://xmlns.com/foaf/0.1/name> “Tove Jansson” .
  • 7. Serializing Turtle ex:1 dc:title “Comet in Moominland”@en, “Mumintrollet på kometjakt”@sv ; dc:creator ex:person/tjansson ; dc:subject lcsh:sh2001004219 . ex:person/tjansson foaf:name “Tove Jansson” . lcsh:sh2001004219 skos:prefLabel "Moomins (Fictitious characters)"@en .
  • 8. Practical Semantics ➢ Hierarchical Metadata Terms ⇒ relationships between vocabularies ⇒ e.g. mrel:photographer < dc:contributor ➢ Domain and Range Statements ⇒ Limit vocabulary application for data quality and interoperability ➢ Objects in one statement can be subjects in others.
  • 9. Global Scale ➢ Statement-centric ➢ Model is “Open World” ⇒ Data we don’t have is assumed to be unknown locally, not globally. ➢ Outside data is valued ➢ Linking is web scale
  • 10. Resources ➢ Linked Open Vocabularies (vocabulary search engine) http://lov.okfn.org/dataset/lov/ ➢ W3C Library Linked Data Incubator Group Reports http: //www.w3.org/2005/Incubator/lld/ ➢ Open Metadata Registry (hosts RDA vocabularies) http: //metadataregistry.org/
  • 11. Questions/Discussion Challenges from readings? Questions about why & how? Observations?

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