In the past, Metadata Management is used to know how to use data catalog to find simple data or a book or a periodical in… Read More »Why do you need a metadata management system? Definition and Benefits.
Knowledge graphs are network graphs that link related concepts and properties together to create a form of inferencing engine, with knowledge engineering being the programming aspect of graph usage. Explore how knowledge graphs are created and queried, how they are used as part of a broader form of enterprise metadata management, and how they tie into ML and the IoT.
We’re moving at the Cagle house and we’re discovering that, after eight years of living at the same place, one family can collect a lot… Read More »DSC Weekly Digest 01 March 2022: Taxonomists Classify, Ontologists Conceptualize
Data Points Hybrid AI is already overcoming the limitations of single technique approaches Symbolic AI understands actual knowledge, not just data Hybrid solutions open the… Read More »The Hybrid to Give Your AI the Gift of Knowledge
In the last couple of months, I’ve been noticing a gradual shift in the kind of articles that we receive at Data Science Central. We… Read More »DSC Weekly Digest 22 February 2022: Graphology
telligence, try IntelligentGraph and PathQL by installing the IntelligentGraph docker image available here.
For the past several years I’ve been teaching myself guitar. I’d studied piano in school, so I didn’t think that I’d run into the issue… Read More »The Piano Keyboard as a Contextual Computing Metaphor
Tim Berners-Lee has an interesting habit of coming up with ideas that seem hard to explain at the outset, remain all hard to understand even… Read More »How Solid Pods May End Up Becoming the Building Blocks of the Metaverse