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

1. Linking Data at Euromoney
Fabio Colasanti
25/02/14
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2. A five course menu
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The problem space
Drivers and opportunities
Challenges
Patterns
Next steps

3. The enterprise
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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. Coverage
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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. 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. Euromoney’s Linked Data cloud
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7. Not all fun and games
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Retain ownership
Independent change management
Editorial style
Ubiquitous language
Reference data
Information governance
Data governance

8. Multi-layered bounded contexts

9. Multi-layered bounded contexts

10. Multi-layered bounded contexts: example

11. Data and Information management
Partitioned by ownership
– Ontologies
– Non-Information Resources
– Reference data
Risk matrix
Governance process

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. Labels management

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. Labels management
• Consumer tailored labels
• Late binding onto semantic predicates
• No hacking into URIs

16. Go public?
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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. Linked Data public access layer

18. Linked Data public access layer: example

19. It’s all about quality, it’s all about people
(Get in touch, we’re hiring)

20. fcolasanti@euromoneyplc.com