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

How does the journey to a knowledge graph start with unstructured data—such as text, images, and other media? The evolution of web search engines offers an instructive example, showing how ...

Example of a content knowledge graph that shows how a blog post is connected to other entities through the Schema.org properties (Image from author, November 2024) ...

I've issued three monster articles (and four podcasts) about SAP Sapphire - but it wasn't enough. To kick off my spring event ...

For example, a user might input a question like “Which policies have a high-risk rating?” and the LLM can generate a Cypher query to extract the relevant data from the graph. The knowledge ...

The power of knowledge graphs. A knowledge graph is an information-rich structure that provides a view of entities and how they interrelate. For example, Rishi Sunak holds the office of prime ...

The semantic technologies underpinning RDF knowledge graphs are primed for data mesh and data fabric architectures — and their synthesis. They’re certainly ideal for crafting data products.

For example, a knowledge graph could be created based on data pulled from electronic medical records, clinical trials, or other medical literature.

How to use knowledge graphs to improve customer experience — digging into the healthcare example. Knowledge graphs are well known to the Pharma industry, and their power has been utilized for ...