A presentation by Veronika Heimsbakk, Knowledge Graph Lead I&D Nordics, Capgemini at GraphTalk Oslo on June 1st, 2023

1. What are knowledge graphs, and why should you care?
Veronika Heimsbakk

2. What are knowledge graphs, and why should you care?
Veronika Heimsbakk
Knowledge Graph Lead | Insights & Data Nordics
veronika.heimsbakk@capgemini.com
‡ veleda
7 veronikaheim
Πveronahe.no
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3. Observations
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4. Observations
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5. Linked Data
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6. A Unifying Language
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7. Accessible Semantics
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8. Accessible Semantics
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14. A Unifying Logical Language
∠ We need to talk about data, and the meaning of data.
∠ To think about data in graph is intuitive and natural.
∠ We move logic from the application layer to the data layer.
∠ Accessible semantics + graph-based representation.
We need to move from data to knowledge in a way both humans and machines can interpret.
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15. Importance of Knowledge
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16. Importance of Knowledge
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17. Importance of Knowledge
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18. Predictive models are bound to the information they’re trained on.
They do not reason over facts.
But knowledge graphs do!
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19. In a world with huge amount of content,
knowledge becomes valuable.
— Denny Vrandečić, Knowledge Graph Conference 2023
Πhttps://www.youtube.com/watch?v=WqYBx2gB6vA
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20. Capgemini Graph Cases
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