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 ...

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 .

Data warehousing is good for static BI projects, but knowledge graphs must be able to power insights in real time, otherwise they simply won’t work for applications like real-time recommendations, ...

Using our biomedical knowledge graph and this machine-learning approach , we prioritized genes linked to known clinical manifestations of COVID-19 and built networks connecting those genes to SARS ...