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.

Right now, knowledge graphs are changing data integration, search, analytics, and recommendations. Underneath the hood, you’ll find Linked Data.

Siren promises the benefits of knowledge graphs, without the hassle of reinventing your existing data management and infrastructure Written by George Anadiotis, Contributor Nov. 14, 2019 at 4:00 a ...

Smarter AI agents need smarter data. Knowledge graphs can help by providing a shared data foundation that enables agents to ...

Sometimes, you can enter into a technology too early. The groundwork for semantics was laid down in the late 1990s and early 2000s, with Tim Berners-Lee's stellar Semantic Web article, debuting in ...

However, it contains no knowledge. Meanwhile, knowledge managers have figured out how to harvest knowledge. “We have to think harder about what knowledge actually is and how to link up your knowledge ...

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 ...

In the exciting world of artificial intelligence (AI), two standout technologies are making waves: Large Language Models (LLMs) like GPT-3 and Knowledge Graphs.These tools are transforming how we ...

From a knowledge graph perspective, imagine overlaying two graphs. The better they align, the more easily a reader can grasp new concepts – especially when those new ideas are linked to familiar ...