Of Superheroes, Hypergraphs and the Intricacy of Roles
In my previous post in which I discussed names, I also led in with the fact that I am a writer. Significantly, I did not… Read More »Of Superheroes, Hypergraphs and the Intricacy of Roles
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.
In my previous post in which I discussed names, I also led in with the fact that I am a writer. Significantly, I did not… Read More »Of Superheroes, Hypergraphs and the Intricacy of Roles
E-R diagrams capture meaning in your data. This high-level visual tool identifies core components of an enterprise Simple steps to follow to create the diagram.… Read More »Intro to the E-R Diagram
I wrote on this topic way back in 2016, but when a recent reader indicated that the original article didn’t have images anymore (it happens),… Read More »What's In a Name?
SPARQL is a powerful language for working with RDF triples. However, SPARQL can also be difficult to work with, so much so that it often… Read More »Six Secret SPARQL Ninja Tricks
Why Question-Answering Engines? The search only for documents is outdated. Users who have already adopted a question-answering (QA) approach with their personal devices, e.g., those… Read More »Question Answering based on Knowledge Graphs
For regular readers of the (lately somewhat irregularly published) The Cagle Report, I’ve finally managed to get my feet underneath me at Data Science Central,… Read More »The Pros and Cons of RDF-Star and Sparql-Star
Several years ago, the typical company website fit into a predefined template – a home or landing page (usually talking about how innovative the company… Read More »Building Effective Site Taxonomies
Judea Pearl (left) and Donald Rubin (right) taken in 2014. Full disclosure: I am a big fan of Judea Pearl and his contributions to Bayesian… Read More »Why I think the Potential Outcomes Theory is woefully incomplete without Pearl’s enhancements to it
The still young discipline of the management and governance of knowledge graphs (KG) is gradually beginning to consolidate on the basis of concrete project experience. It… Read More »The Rise of the Knowledge Scientist
Data rules the world and, as a result, we want data to drive all the big decisions about how the world works because we believe… Read More »Citizen data scientists are a good thing, but are they the only thing?