EASY Metadata as Linked Open Data

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DANS Werklunch 2.06.13

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EASY Metadata as Linked Open Data

  1. 1. DANS is an institute of KNAW and NWO Data Archiving and Networked ServicesData Archiving and Networked Services EASY metadata as Linked Open Data DANS Werklunch 2.06.13 Marat Charlaganov
  2. 2. Linked Data at DANS
  3. 3. Linked Data Method of publishing structured data on the Web and of interlinking data between different data sources. •Based on web standards •Uses triples to describe data
  4. 4. Triples Amsterdam is located in the Netherlands
  5. 5. Triples Amsterdam is located in the Netherlands
  6. 6. Triples Amsterdam is located in the Netherlands <http://dbpedia.org/resource/Amsterdam> <http://dbpedia.org/ontology/location> <http://dbpedia.org/resource/Netherlands>
  7. 7. Triples Amsterdam is located in the Netherlands <http://dbpedia.org/resource/Amsterdam> <http://dbpedia.org/ontology/location> <http://dbpedia.org/resource/Netherlands> dbp:Amsterdamdbp:Amsterdam dbp:Netherlandsdbp:Netherlands dbo:location
  8. 8. Triples Amsterdam is located in the Netherlands. <http://dbpedia.org/resource/Amsterdam> <http://dbpedia.org/ontology/location> <http://dbpedia.org/resource/Netherlands> . <http://dbpedia.org/resource/Amsterdam> <http://www.w3.org/2000/01/rdf-schema#label> “Amsterdam”@en , dbp:Amsterdamdbp:Amsterdam dbp:Netherlandsdbp:Netherlands dbo:location “Amsterdam”“Amsterdam” rdfs:label
  9. 9. EASY metadata • Expressed as triples (uses RDF internally) • There is a mapping to a standard vocabulary (Dublin Core) • Datasets have URI’s – Dataset URL – Persistent identifier
  10. 10. EASY metadata ready for Web 3.0 • Publish as Linked Data • Start interlinking
  11. 11. Why Linked Data?
  12. 12. It’s machine-readable!
  13. 13. Why Linked Data? • Machine-readable • Developer-friendly • Good for humans, too
  14. 14. Question • What datasets talk about Maastricht according to geographical coordinates, but do not mention Maastricht in metadata?
  15. 15. Answer http://goo.gl/Qerku
  16. 16. Behind the scenes • No knowledge of database schema • Some knowledge of Dublin Core conventions • Use of external information (dbpedia) • Some knowledge of SPARQL (optional) • Geospatial query
  17. 17. Developer-friendly (SPARQL) • HTTP API • Based on W3C standards • Fancy tools available
  18. 18. http://ersy.org
  19. 19. Conclusions • EASY metadata is (almost) ready for publishing as Linked Open Data • Linked Open Data – Machine-readable – Developer-friendly – Good for humans • Further reading: http://dans-labs.github.io/easy-lod/
  20. 20. Data Archiving and Networked Services (DANS) Anna van Saksenlaan 10 | 2593 HT The Hague | The Netherlands P.O. Box 93067 | 2509 AB The Hague | The Netherlands 070 3446 484 | info@dans.knaw.nl | www.dans.knaw.nl KVK 54667089 | DANS is an institute of KNAW en NWO Thank you for your attention

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