1. Vocabulários Geonames Scovo Event Skos Data cube

2. Geonames Ontology http://www.geonames.org http://www.geonames.org

3. Adicionar informação geoespacial na Web Nomes de lugares em várias línguas População Elevação Outros dados de várias fontes Coordenadas em WGS84 (Sistema Geodésico Mundial )

4. Mais de 10 milhões de nomes geográficos 7.5 milhões de objetos geográficos 9 classes 645 subcategorias http://www.geonames.org/about.html http://www.geonames.org/about.html

5. A – Administrative Region country, state, region,... L – Area parks,area,... H – Hydrographic Land forest,heath,... T – Hypsographic mountain,hill,rock,... P – Populated Place city, village,... S - Spot Features spot, building, farm R – Streets / Highways / Roads road, railroad U – Undersea V – Vegetation forest,heath,... Classes

6. Algumas subcategorias

7. http://www.geonames.org/export/codes.html

8. URI para o conceito URI para o documento RDF http://www.geonames.org/ontology/documentation.html

9. [1] http://sws.geonames.org/3020251/http://sws.geonames.org/3020251/

10. [2] http://sws.geonames.org/3020251/about.rdfhttp://sws.geonames.org/3020251/about.rdf Embrun Ambrun FR 7069 05200 05201 44.56387 6.49526

11. Scovo http://purl.org/NET/scovo#

12. Apresentação [RDF-Schema] vocabulary for representing statistical data on the WebRDF-Schema defined in RDF-Schema http://sw.joanneum.at/scovo/schema.html

13. Concepts http://sw.joanneum.at/scovo/schema.html

14. Classes Dataset a statistical dataset, is a SKOS Concept.SKOS Concept SKOS Core fornece um modelo para expressar a estrutura básica e o conteúdo do conceito de sistemas (tesauros, esquemas de classificação, mediante listas de título, taxonomias, terminologias, glossários e outros tipos de vocabulário controlado). http://www.w3.org/2009/08/skos-reference/skos.html# http://www.w3.org/TR/2005/WD-swbp-skos-core-guide-20050510/

15. Classes Item a statistical data item; is a kind of Event.Event The Event model

16. Classes Class: scovo:Dataset Dataset – a statistical dataset URI: http://purl.org/NET/scovo#Dataset Properties include: scovo:datasetOf Used with: scovo:dataset http://vocab.deri.ie/scovo#Dataset

17. Classes Class: scovo:Dimension Dimension – a dimension of a statistical data item URI: http://purl.org/NET/scovo#Dimension Properties include: scovo:minscovo:min, scovo:maxscovo:max Used with: scovo:dimension http://vocab.deri.ie/scovo#Datase

18. Classes Class: scovo:Item Item – a statistical data item URI: http://purl.org/NET/scovo#Item Properties include: scovo:datasetscovo:dataset, scovo:dimensionscovo:dimension Used with: scovo:datasetOf Superclass: event:Event http://vocab.deri.ie/scovo#Dataset

19. Propriedades Property: scovo:dataset belongs to dataset URI: –http://purl.org/NET/scovo#datasethttp://purl.org/NET/scovo#dataset Domain: –scovo:Itemscovo:Item Range: –scovo:Datasetscovo:Dataset

20. Propriedades Property: scovo:datasetOf is the dataset of URI: http://purl.org/NET/scovo#datasetOf Domain: scovo:Dataset Range: scovo:Item

21. Propriedades Property: scovo:dimension has a dimension URI: http://purl.org/NET/scovo#dimension Domain: scovo:Item Range: scovo:Dimension

22. Propriedades Property: scovo:max has a maximum range value URI: http://purl.org/NET/scovo#max Domain: scovo:Dimension

23. Propriedades Property: scovo:min has a minimum range value URI: http://purl.org/NET/scovo#min Domain: scovo:Dimension

24. Exemplo: Modelling flight on-time arrival statistics. @prefix ex:. @prefix scv:. @prefix dc:. @prefix rdf:. @prefix rdfs:. @prefix xsd:. # domain schema definitions ex:TimePeriod rdfs:subClassOf scv:Dimension ; dc:title "time period". ex:Q12006 rdf:type ex:TimePeriod ; dc:title "2006 Q1" ; scv:min "2006-01-01"^^xsd:date ; scv:max "2006-03-31"^^xsd:date.

25. Exemplo ex:OnTime rdfs:subClassOf scv:Dimension ; dc:title "on-time arrivals or departures". ex:ota rdf:type ex:OnTime ; dc:title "on-time arrivals". ex:Airport rdfs:subClassOf scv:Dimension ; dc:title "airport". ex:AtlantaHartsfield rdf:type ex:Airport ; dc:title "Atlanta, Hartsfield". # dataset and data items instances ex:ontime-flights rdf:type scv:Dataset ; dc:title "On-time Flight Arrivals and Departures at Major U.S. Airports: 2006" ; scv:datasetOf ex:AtlantaHartsfield-ota-2006-q1.

26. Exemplo ex:AtlantaHartsfield-ota-2006-q1 rdf:type scv:Item ; rdf:value 74 ; scv:dataset ex:ontime-flights ; scv:dimension ex:Q12006 ; scv:dimension ex:ota ; scv:dimension ex:AtlantaHartsfield.

27. Skos http://www.w3.org/TR/2009/REC- skos-reference-20090818/

28. Skos - Overview The Simple Knowledge Organization System is a common data model for knowledge organization systems such as thesauri, classification schemes, subject heading systems and taxonomies.

29. Skos - Overview SKOS concepts: can be labeled with any number of lexical (UNICODE) strings can be assigned one or more notations can be documented with notes of various types. can be linked to other SKOS concepts via semantic relation properties. can be grouped into collections can be mapped to other SKOS concepts in different concept schemes

30. SKOS - Example

32. Skos, RDF and OWL The elements of the SKOS data model are classes and properties Can be used side-by-side with OWL to express and exchange knowledge about a domain is not a formal knowledge representation language.

33. Skos, RDF and OWL "conhecimento" explícito em uma ontologia formal é expressa como um conjunto de axiomas e fatos um esquema de thesaurus ou classificação identifica e descreve, através de linguagem natural e outros meios informais, um conjunto de idéias ou significados distintos

34. Skos, RDF and OWL SKOS data are then expressed as RDF triples. SKOS OWL

35. Skos, RDF and OWL When OWL Full is used as a knowledge representation language, the notion of inconsistency is useful because it reveals contradictions within the axioms and facts SKOS data model contains a limited number of statements that are intended as integrity conditions.

36. Skos, RDF and OWL The elements of SKOS data model are OWL classes e properties. Most of the class and property definitions and integrity conditions could be stated as RDF triples, using the RDF, RDFS and OWL vocabularies. However, a small number cannot, either because of limitations in the expressiveness of OWL Full or lack of a standard URI for some class.

37. Skos – Concept Class A SKOS concept can be viewed as an idea or notion Vocabulary: skos:Concept Example: rdf:type skos:Concept.

38. Skos – Concept Schemas A SKOS concept scheme can be viewed as an aggregation of one or more SKOS concepts Vocabulary: Exemple:

39. Skos – Concept Schemas SKOS concept takes part in two different concept schemes — this is consistent with the SKOS data model. Flexibility does not provide any mechanism to completely define a concept scheme.

40. Skos – Lexical Lables A lexical label is a string of UNICODE characters, such as "romantic love" or " れんあい ", in a given natural language Vocabulary:

41. Skos – Lexical Lables Examples:

42. Skos – Notations A notation is not normally recognizable as a word or sequence of words in any natural language Vocabulary: skos:notation Example:

43. Skos – Documentation Properties A notation is not normally recognizable as a word or sequence of words in any natural language Vocabulary:

44. Skos – Documentation Properties Exemples: Literal Reference

45. Skos – Semantic Relations are links between SKOS concepts two basic categories of semantic relation: hierarchical and associative. Vocabulary:

46. Skos – Semantic Relations Examples:

47. Skos – Semantic Relations Skos:related - Symmetry, transitivity and reflexivity

48. Skos – Semantic Relations Skos:broader - Symmetry, transitivity and reflexivity

49. Skos – Concept Colletions are labeled and/or ordered groups of SKOS concepts Vocabulary:

50. Skos – Concept Colletions Examples:

51. Skos – Mapping Properties are used to state mapping (alignment) links between SKOS concepts in different concept schemes. Vocabularies:

52. Skos – Mapping Properties Examples:

53. Skos – Mapping Properties Transitivity:

54. Data Cube vocabulary

55. Introduction publication of multi-dimensional data on the web Se baseia nos seguintes vocabulários: SKOS for concept schemesSKOS SCOVO for core statistical structuresSCOVO VoiD for data accessVoiD FOAF for organizationsFOAF Dublin Core Terms for metadataDublin Core Terms

56. Relationship to scovo Scovo does not support: Definition and publication of the structure of a dataset independent from the concrete data data flows which group together datasets that share the same structure, for example from different national data providers, definition of "slices" through a dataset, such as an individual time series or cross-section, for individual annotation, distinctions between dimensions, attributes and measures.

57. The cube model A cube is organized according to a set of dimensions, attributes and measures. We collectively call these components. The dimension components serve to identify the observations. A set of values for all the dimension components is sufficient to identify a single observation. The measure components represent the phenomenon being observed. The attribute components allow us to qualify and interpret the observed value(s).

58. Slices subsets of observations within a dataset

59. Exemples life expectancy broken down by region (unitary authority), age and time. 2004-62005-72006-8 MaleFemaleMaleFemaleMaleFemale Newport76.780.777.180.977.081.5 Cardiff78.783.378.683.778.783.4 Monmouthshire76.681.376.581.576.681.7 Merthyr Tydfil75.579.175.579.474.979.6

60. Outline of the vocabulary

61. Examples http://publishing-statistical- data.googlecode.com/svn/trunk/specs/src/ main/html/cube.htmlhttp://publishing-statistical- data.googlecode.com/svn/trunk/specs/src/ main/html/cube.html