These knowledge graphs revolutionize customer journeys by enabling personalized recommendations, enhancing customer service and optimizing interactions across multiple touch points. Use Case #1: ...

If you’re like me, you’ve heard plenty of talk about entity SEO and knowledge graphs over the past year. But when it comes to implementation, it’s not always clear which components are worth ...

This means that the content knowledge graph you’ve built to drive SEO can also be reused to ground LLMs in structured, verified, domain-specific knowledge, reducing the risk of hallucinations.

The graph of knowledge vs. the knowledge graph: GoK is a broader, more conceptual idea focusing on interconnected information, without necessarily being highly structured.

It’s widely used in fields like biology, social sciences, and computer science to visualize protein-protein interaction networks, social networks, knowledge graphs, and more. Strengths: Highly ...

Understand the building blocks of knowledge graphs – entities, relationships and attributes – and how they relate to information retrieval.

A knowledge graph operates by applying a reasoner to derive new knowledge. It organizes and integrates data based on an ontology, which serves as the schema of the knowledge graph.

Franz Inc., an early innovator in artificial intelligence (AI) and leading supplier of knowledge graph technology for Neuro-Symbolic AI applications, is introducing Gruff 9, a web-based advanced ...

For instance, in recommendation systems, knowledge graphs enable AI to not just see individual choices but understand the network of preferences, drawing smarter, more personalized recommendations.