A practical, engineering-focused approach to building a semantic layer on Neo4j with ontology at the core, with @BarrasaDV.

Watch this webinar at your own pace and see how graph intelligence:

-Helps you build flexible and semantically consistent systems -Enables richer context and more reliable data access -Provides a stronger foundation for AI-driven applications

On demand: https://bit.ly/4frB8NB

#ontologies #graphdatabase #AI #semantics

Build the ontology at the core of your semantic layer

Source: https://go.neo4j.com/WBR-EDU-260625-Ontology-driven-semantic-layer_Registration.html The semantic layer provides a consistent, governed interface for AI agents that consume enterprise data. Yet, implicit definitions make it difficult to see shared meaning and scale governance across teams. Without an ontology-driven semantic layer, you can’t model shared understanding directly into your data architecture.

In this session, we take a practical, engineering-focused approach to building a semantic layer on Neo4j with ontology at the core. We’ll explore how to design and evolve ontologies that model context and relationships as first-class elements, moving from fragmented semantics to explicit meaning.

See how graph intelligence:

• Helps you build flexible and semantically consistent systems
• Enables richer context and more reliable data access
• Provides a stronger foundation for AI-driven applications

SPEAKER

Jesus BarrasaField CTO, Neo4j

Dr. Jesús Barrasa is the Field CTO for AI at Neo4j, where he works with organisations combining the power of LLMs with Knowledge Graphs. He co-authored “Building Knowledge Graphs” (O’Reilly 2023) and is cohost of the Going Meta live webcast (https://goingmeta.live/). Jesús holds a Ph.D. in Artificial Intelligence/Knowledge Representation and is an active thought leader in the KG and AI space.

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