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Taxonomy Bootcamp London 2019
Taxonomy Development in a
Linked Data World
Frank Branch and Aaron Bradley
Marcom Strategy - Content Ecosystem
Electronic Arts
TAXONOMY DEVELOPMENT IN A LINKED DATA WORLD - TAXONOMY BOOTCAMP LONDON 2019
Aaron Bradley
Knowledge Graph Strategist
EA 5 years
Strategies for connecting intelligent content at
massive scale
Spends too much time on Twitter as @aaranged
Frank Branch
Senior Ontologist
EA, started June 2019
Ontology modelling & data architecture
Introductions
TAXONOMY DEVELOPMENT IN A LINKED DATA WORLD - TAXONOMY BOOTCAMP LONDON 2019
Electronic Arts
TAXONOMY DEVELOPMENT IN A LINKED DATA WORLD - TAXONOMY BOOTCAMP LONDON 2019
Because the world we live in is big and complex, we need
to go about the job of taxonomy development in a way
that matches that.
The big idea
TAXONOMY DEVELOPMENT IN A LINKED DATA WORLD - TAXONOMY BOOTCAMP LONDON 2019
Taxonomy use cases then and now
Traditional
● Search
● Document indexing and
faceted browsing
● Basic measurement
Contemporary
● Used to control reasoning
and algorithms
● Intelligent content models
● Personalization
● Semantic annotation and
content enrichment
● Rich analytics and
measurement
● Search
MARCOM STRATEGY
Ontology lens
TAXONOMY DEVELOPMENT IN A LINKED DATA WORLD - TAXONOMY BOOTCAMP LONDON 2019
Ontologies change taxonomy usage
● Personalized views of content
● Aid in forming recommendations
● Generates content for any device,
anywhere, and everywhere
● Creates insights to learn from our
data
● Focuses on your organizational
needs with connection to the wider
world
● Only then can it enable better
search
TAXONOMY DEVELOPMENT IN A LINKED DATA WORLD - TAXONOMY BOOTCAMP LONDON 2019
Ontologies change the taxonomist’s process
● User warrant must take in a broader
group of stakeholders
● Ontology needs to come first
● Ontology creates taxonomy scope
and context
● Taxonomies in a linked data world
are networks, not trees
● Collaboration becomes distributed
amongst many different people
across that network
MARCOM STRATEGY
Content model lens
TAXONOMY DEVELOPMENT IN A LINKED DATA WORLD - TAXONOMY BOOTCAMP LONDON 2019
In a content graph models drive taxonomy use
TAXONOMY DEVELOPMENT IN A LINKED DATA WORLD - TAXONOMY BOOTCAMP LONDON 2019
In a content graph models drive taxonomy use
TAXONOMY DEVELOPMENT IN A LINKED DATA WORLD - TAXONOMY BOOTCAMP LONDON 2019
Querying concepts facilitates content creation
TAXONOMY DEVELOPMENT IN A LINKED DATA WORLD - TAXONOMY BOOTCAMP LONDON 2019
Taxonomic precision is vital in content graphs
TAXONOMY DEVELOPMENT IN A LINKED DATA WORLD - TAXONOMY BOOTCAMP LONDON 2019
One thesaurus, multiple uses
MARCOM STRATEGY
What we’ve learned
TAXONOMY DEVELOPMENT IN A LINKED DATA WORLD - TAXONOMY BOOTCAMP LONDON 2019
Taxonomy development has changed
● In a big, complex world the uses of
taxonomies are increasingly varied,
and extend far past controlled
vocabularies for search
● Each taxonomy lives in a network of
content, relationships and
algorithmic reasoning
● Each taxonomy must be tailored to
its environment, be personalizable
and support multiple content
endpoints
MARCOM STRATEGY
Thank you!
Questions?

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Taxonomy Development in a Linked Data World

  • 1. Taxonomy Bootcamp London 2019 Taxonomy Development in a Linked Data World Frank Branch and Aaron Bradley Marcom Strategy - Content Ecosystem Electronic Arts
  • 2. TAXONOMY DEVELOPMENT IN A LINKED DATA WORLD - TAXONOMY BOOTCAMP LONDON 2019 Aaron Bradley Knowledge Graph Strategist EA 5 years Strategies for connecting intelligent content at massive scale Spends too much time on Twitter as @aaranged Frank Branch Senior Ontologist EA, started June 2019 Ontology modelling & data architecture Introductions
  • 3. TAXONOMY DEVELOPMENT IN A LINKED DATA WORLD - TAXONOMY BOOTCAMP LONDON 2019 Electronic Arts
  • 4. TAXONOMY DEVELOPMENT IN A LINKED DATA WORLD - TAXONOMY BOOTCAMP LONDON 2019 Because the world we live in is big and complex, we need to go about the job of taxonomy development in a way that matches that. The big idea
  • 5. TAXONOMY DEVELOPMENT IN A LINKED DATA WORLD - TAXONOMY BOOTCAMP LONDON 2019 Taxonomy use cases then and now Traditional ● Search ● Document indexing and faceted browsing ● Basic measurement Contemporary ● Used to control reasoning and algorithms ● Intelligent content models ● Personalization ● Semantic annotation and content enrichment ● Rich analytics and measurement ● Search
  • 7. TAXONOMY DEVELOPMENT IN A LINKED DATA WORLD - TAXONOMY BOOTCAMP LONDON 2019 Ontologies change taxonomy usage ● Personalized views of content ● Aid in forming recommendations ● Generates content for any device, anywhere, and everywhere ● Creates insights to learn from our data ● Focuses on your organizational needs with connection to the wider world ● Only then can it enable better search
  • 8. TAXONOMY DEVELOPMENT IN A LINKED DATA WORLD - TAXONOMY BOOTCAMP LONDON 2019 Ontologies change the taxonomist’s process ● User warrant must take in a broader group of stakeholders ● Ontology needs to come first ● Ontology creates taxonomy scope and context ● Taxonomies in a linked data world are networks, not trees ● Collaboration becomes distributed amongst many different people across that network
  • 10. TAXONOMY DEVELOPMENT IN A LINKED DATA WORLD - TAXONOMY BOOTCAMP LONDON 2019 In a content graph models drive taxonomy use
  • 11. TAXONOMY DEVELOPMENT IN A LINKED DATA WORLD - TAXONOMY BOOTCAMP LONDON 2019 In a content graph models drive taxonomy use
  • 12. TAXONOMY DEVELOPMENT IN A LINKED DATA WORLD - TAXONOMY BOOTCAMP LONDON 2019 Querying concepts facilitates content creation
  • 13. TAXONOMY DEVELOPMENT IN A LINKED DATA WORLD - TAXONOMY BOOTCAMP LONDON 2019 Taxonomic precision is vital in content graphs
  • 14. TAXONOMY DEVELOPMENT IN A LINKED DATA WORLD - TAXONOMY BOOTCAMP LONDON 2019 One thesaurus, multiple uses
  • 16. TAXONOMY DEVELOPMENT IN A LINKED DATA WORLD - TAXONOMY BOOTCAMP LONDON 2019 Taxonomy development has changed ● In a big, complex world the uses of taxonomies are increasingly varied, and extend far past controlled vocabularies for search ● Each taxonomy lives in a network of content, relationships and algorithmic reasoning ● Each taxonomy must be tailored to its environment, be personalizable and support multiple content endpoints