gist Jumpstart
This blog post is for anyone responsible for Enterprise data management who would like to save time and costs by re-using a great piece of modeling work. It updates an earlier blog post, “A brief introduction to the gist semantic model”. A core semantic model, also called an upper ontology, is a common model across... Continue reading→
Data-Centric Revolution: Is Knowledge Ontology the Missing Link?
“You would think that after knocking around in semantics and knowledge graphs for over two decades I’d have had a pretty good idea about Knowledge Management, but it turns out I didn’t. I think in the rare event the term came up I internally conflated it with Knowledge Graphs and moved on. The first tap... Continue reading→
A Knowledge Graph for Mathematics
This blog post is for anyone interested in mathematics and knowledge representation as associated with career progression in today’s changing information eco-system. Mathematics and knowledge representation have a strong common thread; they both require finding good abstractions and simple, elegant solutions, and they both have a foundation in set theory. It could be used as... Continue reading→
The ABCs of QUDT
This blog post is for anyone interested in understanding units of measure for the physical world. The dominant standard for units of measure is the International System of Units, part of a collaborative effort that describes itself as: Working together to promote and advance the global comparability of measurements. While the International System of Units... Continue reading→
Extending an upper-level ontology (like GIST)
Michael Sullivan is a Principle Cloud Solutions Architect at Oracle. Article reprinted with permission (original is here) If you have been following my blogs over the past year or so they you will know I am a big fan of adopting an upper-level ontology to help bootstrap your own bespoke ontology project. Of the available... Continue reading→
The Data-Centric Revolution: Zero Copy Integration
I love the term “Zero Copy Integration.” I didn’t come up with it, it was the Data Collaboration Alliance, that came up with that one. The Data Collaboration Alliance is a Canadian based advocacy group promoting localized control of data along with federated access. What I like about the term is how evocative it is.... Continue reading→
Knowledge Graph Modeling: Time series micro-pattern using GIST
Michael Sullivan is a Principle Cloud Solutions Architect at Oracle. Article reprinted with permission (original is here) For any enterprise, being able to model time series is more than just important, in many cases it is critical. There are many examples but some trivial ones include “Person is employed By Employer” (Employment date-range), “Business has... Continue reading→
Alan Morrison: Zero-Copy Integration and Radical Simplification
Dave McComb’s book Software Wasteland underscored a fundamental problem: Enterprise software sometimes costs 1,000 times more than it ought to. The poster child for cost overruns was highlighted in the book was Healthcare.gov, a public registration system for the US Affordable Care Act, enacted in 2010. By 2018, the US Federal government had spent $2.1... Continue reading→
The Data-Centric Revolution: Detour/Shortcut to FAIR
The FAIR principles for data sets are gaining traction, especially in the pharmaceutical industry in Europe. FAIR stands for: Findable, Accessible, Interoperable and Reusable. In a world of exponential data growth and ever-increasing silo-ization, the FAIR principles are needed more than ever. In this article, we will first summarize the FAIR principles and describe the typical roadmap to FAIR.... Continue reading→
The Data-Centric Revolution: An Interview with Dave McComb
Are today’s economics of software projects and support inevitable? No. They are a product of the fact that the industry has collectively chosen the application-centric route to implementing new functionality. When every business problem calls for a new application and every new application comes with its own database, what you really get is runaway complexity.... Continue reading→
