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Explore the potential of the Semantic Layer in knowledge management, including its impact on knowledge graphs, taxonomies, and content management. Discover the challenges of fragmented information and the need for customized solutions. Learn about the importance of incorporating unstructured data and taxonomies in knowledge graphs, as well as the benefits of automated tagging and taxonomy for course content. Explore the competitive advantage of data productization and unique training sets. Finally, delve into the potential of semantic layers for breaking down organizational barriers in knowledge management.
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Quick takeaways
- A semantic layer connects metadata and contextualizes information using taxonomies, ontologies, and knowledge graphs.
- Semantic layers help organizations organize fragmented information in data lakes or warehouses, facilitating access and making sense of the data.
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Definition of Semantic Layers
A semantic layer is an abstraction layer that allows organizations to contextualize their information and data regardless of where it's stored using metadata. It connects metadata and contextualizes it using semantic solutions such as taxonomies, ontologies, standardized metadata, business glossaries, and knowledge graphs.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode