The three layers of a knowledge graph and what it means for authoring, storage, governance and data quality of the knowledge graph
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In this talk, Katariina Kari will discuss a framework for building a Knowledge Graph, by distinguishing between concepts, categories, and data. All three are interconnected to each other, however, they differ in their order of magnitude and the way they come about. A distinction makes sense to understand who is responsible for which part of the knowledge graph. Also, each layer should be governed differently. This framework ultimately helps to create a division of labour inside the company and helps stakeholders to understand the knowledge graph better.
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The three layers of a knowledge graph and what it means for authoring, storage, governance and data quality of the knowledge graph
- 1. © Inter IKEA Systems B.V. 2023 © Inter IKEA Systems B.V. 2023 1 The Three Layers of a Knowledge Graph Katariina Kari Inter IKEA Systems B.V.
- 2. © Inter IKEA Systems B.V. 2023 © Inter IKEA Systems B.V. 2023 2 2 ThreeLayersof a KnowledgeGraph and what it means for authoring, storage, governance and data quality.
- 3. © Inter IKEA Systems B.V. 2022 Internal 3 Agenda Overview of the Knowledge Graph A Game of 20 Questions Authorship Storage Governance Data Quality
- 5. © Inter IKEA Systems B.V. 2023 Internal 5 A new infrastructure combining business concepts with actual data in a connected network-like form. This allows for richer insights around products interior design! What the knowledge graph is... and why I like them!
- 6. © Inter IKEA Systems B.V. 2023 Internal 6 Business concepts central to IKEA (schema) The controlled vocabulary (instances) All products in network structure (also instances)
- 7. © Inter IKEA Systems B.V. 2023 Internal 7 Business concepts central to IKEA = ontology The controlled vocabulary = taxonomies All products in network structure = knowledge
- 8. © Inter IKEA Systems B.V. 2022 Internal 8 A Gameof 20 Questions Try it at home: Create a Google Form for a game of 20 questions to answer what furniture a player is thinking of.
- 12. © Inter IKEA Systems B.V. 2023 Internal 12 Centralised and owned by the ontology team Decentralised and owned by expert teams. Automatically generated from a data source. Ownership is at the source.
- 14. © Inter IKEA Systems B.V. 2023 Internal 14 RDF file, TTL syntax in a Git repo RDF file, TTL syntax in a Git repo Triple Store for Browsing and Faceted Search Labelled Property Graph for path queries.
- 16. © Inter IKEA Systems B.V. 2023 Internal 16 Review by ontologist peers and negotiation with domain experts Final say by domain expert teams. No governance, since it is generated.
- 18. © Inter IKEA Systems B.V. 2023 Internal 18 Usability of queries, reasoning capabilities, enabling use cases. Reusability for use cases across. SHACL validation.
- 19. Semantic and Transparent ETL Pipelines - Katariina Kari, Lead Ontologist, Inter IKEA Systems B.V. Questions? © Inter IKEA Systems B.V. 2022