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 ...

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.

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 ...

The ability of knowledge graphs to provide comprehensive views of vast sets of data and link these views to real-life connections will make the technology particularly useful for investment ...

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 ...

Personal knowledge graphs built on the Linked Data stack can help achieve that. Image: Ruben Verborgh Knowledge graphs are a rebranding of a technology that goes back 20 years .

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 ...