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Creating Visualizations with Linked Open Data

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Creating Visualizations with Linked Open Data

  1. CREATING VISUALIZATIONSWITH LINKED OPEN DATA Alvaro Graves @alvarograves alvaro@graves.cl
  2. AGENDA• What is Linked Data?• How can I query Linked Data?• How to create visualizations using Visualbox
  3. WHAT IS LINKED DATA?• Linked Data is a way to publish data in a machine- readable way• Itallows you to describe information about things on the Web and their relationships• Government, NGOs and universities publish Linked Data
  4. WHAT IS LINKED DATA?• Example: • London is the capital of England. • London’s population is 8 million people • England is a Country.
  5. WHAT IS LINKED DATA? England is a capital of Country London population 8.000.000• England is a Country.• England ‘s capital is London.• London’s population is 8 million people
  6. ON THE WEB...• We create a URI (i.e., “web address”-like identifier) for everything • London → http://dbpedia.org/resource/London • England → http://dbpedia.org/resource/England • Country → http://dbpedia.org/ontology/Country• Same for relations! • capital of → http://dbpedia.org/ontology/capital • is a → http://www.w3.org/1999/02/22-rdf-syntax-ns#type • population → http://dbpedia.org/ontology/populationUrban
  7. LINKED DATA England is a capital of Country London population 8.000.000 http://dbpedia.org/resource/England http://dbpedia.org/ontology/capital http://www.w3.org/1999/02/22-rdf-syntax-ns#typehttp://dbpedia.org/resource/London http://dbpedia.org/ontology/populationUrban http://dbpedia.org/ontology/Country 8.000.000
  8. HOW CAN I QUERY LINKED DATA?• We can use SPARQL, a query language for Linked Data• People (and governments) publishes Linked Data in SPARQL endpoints that can be queried
  9. HOW SPARQL LOOKSPREFIX dbo: <http://dbpedia.org/ontology/>PREFIX dbp: <http://dbpedia.org/resource/>SELECT ?city ?population WHERE{ dbp:England dbo:capital ?city . ?city dbo:populationUrban ?population .}
  10. RESULTSExecuted against http://dbpedia.org/sparql
  11. SCHOOLS IN THE CITY OF LONDONPREFIX sch-ont: <http://education.data.gov.uk/def/school/>PREFIX geo: <http://www.w3.org/2003/01/geo/wgs84_pos#>PREFIX district: <http://statistics.data.gov.uk/id/local-authority-district/>SELECT ?school ?name ?lat ?long WHERE { ?school a sch-ont:School; sch-ont:establishmentName ?name; geo:lat ?lat; geo:long ?long; sch-ont:districtAdministrative district:00AA .}ORDER BY ?name
  12. RESULTS Executed against http://education.data.gov.uk/sparql/education/query school name lat longhttp://education.data.gov.uk/id/school/581261 Barbican Playgroup 51.51879 -0.09267 Buffer Bear @ Barts &http://education.data.gov.uk/id/school/531003 51.51697 -0.10086 the London Charterhouse Squarehttp://education.data.gov.uk/id/school/590270 51.52038 -0.09886 School
  13. APPLY VISUALIZATION{{models.main|GoogleMaps:”lat,long,name”}}
  14. HOW TO CREATE VISUALIZATIONS• Part 1: Obtain the data ✓• Part 2: Apply a visualization → Visualbox
  15. VISUALBOX
  16. VISUALBOXComponents
  17. VISUALBOX SPARQL query
  18. VISUALBOX Visualization (HTML)
  19. VISUALBOX Visualization Filters
  20. VISUALBOX
  21. VISUALBOX Query testing Results
  22. VISUALBOXView & embed component
  23. START PLAYING WITH VISUALBOX Edit: Final demos available athttp://orion.tw.rpi.edu/~agraves/mozfest/index.html

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