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.

But this leaves a gaping data privacy hole that needs to be filled: it stops users from retaining ownership of their data. The prospects of decentralized social graph protocol ...

Knowledge graphs are well-suited to organizations with large data sets and where extracting knowledge often proves burdensome. Newsletters Games Share a News Tip Featured ...

Ever since the introduction of the Google Knowledge Graph, a growing number of organizations have adopted this powerful technology to drive efficiency and effectiveness in their data management ...

Graph analytics can be performed on any back end, as they only require reading graph-shaped data. Graph databases are databases with the ability to fully support both read and write, utilizing a ...

Available starting today, Neo4j Aura Graph Analytics is said to work with any kind of data source, including Oracle, Microsoft SQL, Databricks, Google BigQuery, Snowflake and Microsoft OneLake.

Let’s explore how blockchain is redefining data ownership and why it’s an essential development in today’s digital landscape. 1. Shifting Control to Users.

And graphs -- personal knowledge graphs. But the only real way to break it up is by getting hold of its data and functionality, one piece at a time. It will take a combination of tech, data, and ...

Missing the bar: How people misinterpret data in bar graphs. ScienceDaily. Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2022 / 02 / 220203102536.htm. Wellesley College.