• Share
  • Email
  • Embed
  • Like
  • Save
  • Private Content
Linked data intro primer
 

Linked data intro primer

on

  • 401 views

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.

Statistics

Views

Total Views
401
Views on SlideShare
401
Embed Views
0

Actions

Likes
0
Downloads
3
Comments
0

0 Embeds 0

No embeds

Accessibility

Upload Details

Uploaded via as Adobe PDF

Usage Rights

CC Attribution License

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

    Linked data intro primer Linked data intro primer Presentation Transcript

    • Linked Data Principles Oregon Digital Linked Data Workshop, Eugene, Oregon November 25, 2013 Tom Johnson thomas. johnson@oregonstate.edu
    • 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.
    • 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>
    • What is a Graph?
    • Data Model Example
    • 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” .
    • 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 .
    • 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.
    • 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
    • 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/
    • Questions/Discussion Challenges from readings? Questions about why & how? Observations?