by Dave McComb | Sep 6, 2017 | Semantics and Ontology
We have taken the position that a core model is an essential part of your data-centric architecture. In this article, we will review what a core model is, how to go about building one, and how to apply it both to analytics as well as new application development. What...
by Dave McComb | Jun 7, 2017 | Semantics and Ontology
There is a movement afoot. I’m seeing it all around me. Let me outline some of the early outposts. Data-Centric Manifesto We put out the data-centric manifesto on datacentricmanifesto.org over two years ago now. I continue to be impressed with the depth of thought...
by Dave McComb | Mar 1, 2017 | Semantics and Ontology
Integration Debt is a Form of Technical Debt As with so many things, we owe the coining of the metaphor “Technical Debt” to Ward Cunningham and the agile community. It is the confluence of several interesting conclusions the community has come to. The first was that...
by Dan Carey | Feb 7, 2017 | Semantics and Ontology, White Papers
Domain and range for ontological properties are not about data integrity, but logical necessity. Misusing them leads to an inelegant (and unnecessary) proliferation of properties. Logical Necessity Meets Elegance Screwdrivers generally have only a small set of head...
by Michael Uschold | Jan 26, 2017 | Semantics and Ontology
Sometimes when we’re designing ontologies we’re faced with design choices that would lead us to create what we call “binary instances” or a situation where it will take the instantiation of two instances (often of different classes) in order to capture one concept. ...
by Dave McComb | Sep 21, 2016 | Semantics and Ontology
In this column, I am making the case for Data Centric architectures for enterprises. There is a huge economic advantage to converting to the data-centric approach, but curiously few companies are making the transition. One reason may be the confusion of Data Centric...
