LD@EM - what Linked Data does, what Linked Data needs

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Business drivers, opportunities and design patterns behind a real life implementation of Linked Data in a global publishing enterprise.

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LD@EM - what Linked Data does, what Linked Data needs

  1. 1. Linking Data at Euromoney Fabio Colasanti 25/02/14 1
  2. 2. A five course menu • • • • • The problem space Drivers and opportunities Challenges Patterns Next steps
  3. 3. The enterprise • • • • • • • • Part of the Daily Mail group Global publishing & data business Conferences and seminars 32 countries 3.5K employees 13 Business Units 100+ publications 100+ websites
  4. 4. Coverage • • • • • • • • Macroeconomics (BCA, …) Capital Markets (EW, DI, GCM, …) Metals price assessment (MB, AMM, SF, …) Hedge funds investment (HFI, II, IISearches…) Legal (IFLR, IP, ITR, ...) Insurance (Insider, Reatcions, …) Specialist (Air Finance, IndMin, …) …
  5. 5. Project Delphi: drivers and vision • Exploit high overlap of concerns to transform bounded information and segregated data into shared knowledge • Ability to generate new transversal products offering by leveraging the knowledge graph of existing content
  6. 6. Euromoney’s Linked Data cloud 6
  7. 7. Not all fun and games • • • • • • • Retain ownership Independent change management Editorial style Ubiquitous language Reference data Information governance Data governance
  8. 8. Multi-layered bounded contexts
  9. 9. Multi-layered bounded contexts
  10. 10. Multi-layered bounded contexts: example
  11. 11. Data and Information management Partitioned by ownership – Ontologies – Non-Information Resources – Reference data Risk matrix Governance process
  12. 12. Labels management @prefix eml: <http://data.emii.com/ontologies/location/> . @prefix emcore: <http://data.emii.com/ontologies/core/> . @prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> . <http://data.emii.com/locations/usa> rdf:type eml:Location ; emcore:canonicalLabel "United States"@en ; emcore:gcmCanonicalLabel "USA"@en ; emcore:bcaCanonicalLabel "U.S."@en ; emcore:alias ”US"@en , "U.S.A."@en , "United States"@en , "United States of America"@en .
  13. 13. Labels management
  14. 14. Labels management @prefix emcore: <http://data.emii.com/ontologies/core/> . @prefix owl: <http://www.w3.org/2002/07/owl#> . @prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> . @prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> . @prefix dc: <http://purl.org/dc/elements/1.1/> . emcore:xyzCanonicalLabel rdf:type owl:DatatypeProperty ; rdfs:subPropertyOf emcore:alias ; rdfs:domain emcore:Concept ; rdfs:range rdfs:Literal ; rdfs:label ”XYZ Canonical Label"@en ; rdfs:comment "The ABC preferred label for a concept."@en ; rdfs:isDefinedBy <http://data.emii.com/ontologies/core> ; dc:rights <http://data.emii.com/business-groups/xyz> .
  15. 15. Labels management • Consumer tailored labels • Late binding onto semantic predicates • No hacking into URIs
  16. 16. Go public? • • • • Linked Data doesn’t have to be no-profit Public vs Proprietary datasets Replicate model on a larger scale Expose public domains for searchability and KB augmentation as semantically rich endpoints
  17. 17. Linked Data public access layer
  18. 18. Linked Data public access layer: example
  19. 19. It’s all about quality, it’s all about people (Get in touch, we’re hiring)
  20. 20. fcolasanti@euromoneyplc.com

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