RDF data model
Download as PPTX, PDF4 likes3,468 views
This document provides an overview of the RDF data model. It discusses the history and development of RDF standards from 1997 to 2014. It explains that an RDF graph is made up of triples consisting of a subject, predicate, and object. It provides examples of RDF triples and their N-triples representation. It also describes RDF syntaxes like Turtle and features of RDF like literals, blank nodes, and language-tagged strings.
![Blank nodes
Subjects and objects can also be Blank nodes
Blank nodes can have local identifiers
:bob
schema:knows
23
foaf:age
"Bob knows someone whose age is 23"
:bob foaf:knows _:1 .
_:1 foaf:age 23 .
:bob foaf:knows [
foaf:age 23
] .
or](https://image.slidesharecdn.com/rdfdatamodel-160527101815/85/RDF-data-model-8-320.jpg)
Ad
More Related Content
What's hot (20)
Viewers also liked (13)
Ad
Similar to RDF data model (20)
Ad
More from Jose Emilio Labra Gayo (20)
Recently uploaded (20)
RDF data model
- 1. Overview of RDF Data Model Eric Prud'hommeaux World Wide Web Consortium MIT, Cambridge, MA, USA Harold Solbrig Mayo Clinic, USA Jose Emilio Labra Gayo WESO Research group University of Oviedo, Spain Iovka Boneva LINKS, INRIA & CNRS University of Lille, France
- 2. Short history of RDF Around 1997 - PICS, Dublin core, Meta Content Framework 1997 1st Working draft https://www.w3.org/TR/WD-rdf-syntax-971002 RDF/XML 1999 1st W3c Rec https://www.w3.org/TR/1999/REC-rdf-syntax-19990222/ First applications RSS, EARL 2004 - RDF Revised https://www.w3.org/TR/2004/REC-rdf-concepts-20040210/ Emergence of SPARQL, Turtle, Linked Data 2014 - RDF 1.1 https://www.w3.org/TR/rdf11-concepts/
- 3. RDF Data Model RDF Graph = set of triples A triple = (subject, predicate, object) Example: http://example.org/alice http://example.org/bob http://schema.org/knows subject predicate object <http://example.org/alice> <http://xmlns.com/foaf/0.1/knows> <http://example.org/bob> . N-Triples representation
- 4. RDF Graph RDF Graph = set of triples Example: http://example.org/alice http://example.org/bob http://example.org/carol http://schema.org/birthPlace http://dbpedia.org/resource/Oviedo http://schema.org/knows http://schema.org/knows http://schema.org/knows http://schema.org/birthPlace http://schema.org/knows
- 5. RDF Graph N-triples representation <http://example.org/alice> <http://schema.org/knows> <http://example.org/bob> . <http://example.org/bob> <http://schema.org/knows> <http://example.org/carol> . <http://example.org/carol> <http://schema.org/knows> <http://example.org/alice> . <http://example.org/carol> <http://schema.org/knows> <http://example.org/bob> . <http://example.org/alice> <http://schema.org/birthPlace> <http://dbpedia.org/resource/Oviedo> . <http://example.org/carol> <http://schema.org/birthPlace> <http://dbpedia.org/resource/Oviedo> .
- 6. Turtle Syntax Some simplifications prefix declarations ; when triples share the subject , when triples share subject and object prefix : <http://example.org/> prefix schema: <http://schema.org/> prefix dbo: <http://dbpedia.org/ontology/> prefix dbr: <http://dbpedia.org/resource/> :alice schema:birthPlace dbr:Oviedo ; schema:knows :bob . :bob schema:knows :carol . :carol schema:birthPlace dbr:Oviedo ; schema:knows :alice , :bob .
- 7. Literals Objects can also be literals Literals contain a lexical form and a datatype Typical datatypes: XML Schema primitive datatypes If not specified, a literal has type xsd:string :bob Robert schema:name 25 foaf:age xsd:integer xsd:string :bob schema:name "Robert"^^<xsd:string> ; foaf:age 25^^<xsd:integer> . :bob schema:name "Robert" ; foaf:age 25 .
- 8. Blank nodes Subjects and objects can also be Blank nodes Blank nodes can have local identifiers :bob schema:knows 23 foaf:age "Bob knows someone whose age is 23" :bob foaf:knows _:1 . _:1 foaf:age 23 . :bob foaf:knows [ foaf:age 23 ] . or
- 9. Language tagged strings String literals can be qualified by a language tag They have datatype rdfs:langString :spain rdfs:label "Spain"@en ; rdfs:label "España"@es .:spain Spain rdfs:label España rdfs:label es en
- 10. ...and that's all? Yes, the RDF Data model is simple
- 11. Exercise Define the following information in RDF :alice schema:name: Alice Cooper schema:birthDate: 1980-06-09 :bob schema:givenName: Bob, Robert schema:lastName: Smith schema:knows schema:knows ? foaf:age: 21 :carol foaf:age: 25 schema:knows :OurCompany schema:worksFor schema:worksFor Try it: http://goo.gl/Ve66q1
- 12. Continue with RDF Validation tutorial http://www.slideshare.net/jelabra/rdf-validation-tutorial