1. Christopher Gutteridge Patrick McSweeney

4. Datum

5. = Hamlet

6. List Data

7. = Macbeth = Hamlet = Twelfth Night = Othello = The Tempest = Much Ado About Nothing = A Midummer Night’s Dream = Romeo and Juliet

8. Tabular Data

9.  Identifier  Title  Date = “Othello” = “1604” = 79

10.  Identifier  Title  Date = “The Tempest” = “1673” = 89

11. Tabular Data

19. URL

20. URI

22. “Christopher Gutteridge” “Simon Phipps” “ Steve Lee ” “ Boring Talk ” http://id.ecs.soton.ac.uk/person/1248 http://boring-talk.org/event/17

23. “Christopher Gutteridge” “Simon Phipps” “ Steve Lee ” “ Cheese Workshop ” http://www.w3.org/2000/01/rdf-schema#label http://purl.org/prog/attendee http://www.w3.org/2000/01/rdf-schema#label

24. “Christopher Gutteridge”.. “N-Triples” (Nb. 1 triple per line)

25. @prefix rdfs:. @prefix rdf:. @prefix prog:. @prefix foaf:. rdfs:label “Christopher Gutteridge” ; rdf:type foaf:Person ; foaf:homepage. prog:attendee,. “Turtle”

26. Examples – Links to.ttl and.nt under the menu on pages for buildings on data.southampton.ac.uk – Links at the bottom of pages on dbpedia.org

27. .

32. ..

33. ..

34. ..

35. .

36. Linked Data

37. 303 See Other

39. #

41. tools

42. Graphite

43. PHP Library for working with RDF documents API inspired by jQuery Works in RAM: Not suitable for huge documents http://graphite.ecs.soton.ac.uk/ (Other libraries exist for most languages)

44. SPARQL

45. SPARQL is to RDF as SQL is to Relational Database http://dbpedia.org/sparql http://sparql.data.southampton.ac.uk/

46. SPARQL PREFIX geo: PREFIX rdfs: PREFIX spacerel: SELECT DISTINCT ?label ?lat ?long WHERE { ?building a. ?building spacerel:within. ?building rdfs:label ?label. OPTIONAL { ?building geo:lat ?lat. ?building geo:lat ?long. } }

47. Common Vocabularies rdf: & rdfs: Core Terms foaf: People, Groups, phone numbers, dcterms: titles, description, creators soton: Our local terms oo: Terms for organisations publishing data rooms: rooms, buildings, campuses geo: latitude & longitude

48. prefix.cc