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.

In June 2023, Gartner researchers said, data and analytics leaders must leverage the power of LLMs with the robustness of knowledge graphs for fault-tolerant AI applications.

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 ...

A knowledge graph is a representation of a collection of real-world concepts (i.e., nodes) and relationships (i.e., edges) in the form of a graph used to link and integrate data coming from diverse ...

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 ...

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

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 ...

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 ...

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 ...