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DANS Linked Data Workshop Discusses Publishing EASY Metadata

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Marat Charlaganov
Marat Charlaganov

DANS Werklunch 2.06.13

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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
Linked Data at DANS
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
Triples Amsterdam is located in the Netherlands
Triples Amsterdam is located in the Netherlands
Triples Amsterdam is located in the Netherlands <http://dbpedia.org/resource/Amsterdam> <http://dbpedia.org/ontology/location> <http://dbpedia.org/resource/Netherlands>
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
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
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
EASY metadata ready for Web 3.0 • Publish as Linked Data • Start interlinking
Why Linked Data?
It’s machine-readable!
Why Linked Data? • Machine-readable • Developer-friendly • Good for humans, too
Question • What datasets talk about Maastricht according to geographical coordinates, but do not mention Maastricht in metadata?
Answer http://goo.gl/Qerku
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
Developer-friendly (SPARQL) • HTTP API • Based on W3C standards • Fancy tools available
http://ersy.org
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/
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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DANS Linked Data Workshop Discusses Publishing EASY Metadata

  • 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
  • 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. Triples Amsterdam is located in the Netherlands
  • 5. Triples Amsterdam is located in the Netherlands
  • 6. Triples Amsterdam is located in the Netherlands <http://dbpedia.org/resource/Amsterdam> <http://dbpedia.org/ontology/location> <http://dbpedia.org/resource/Netherlands>
  • 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. 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. 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. EASY metadata ready for Web 3.0 • Publish as Linked Data • Start interlinking
  • 13. Why Linked Data? • Machine-readable • Developer-friendly • Good for humans, too
  • 14. Question • What datasets talk about Maastricht according to geographical coordinates, but do not mention Maastricht in metadata?
  • 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. Developer-friendly (SPARQL) • HTTP API • Based on W3C standards • Fancy tools available
  • 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. 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