The Data-Centric Revolution: ABox Versioning
Have you ever invented something, seemingly out of whole cloth, only to do a simple Google search to find out…
mccomb
The Data-Centric Revolution: Dealing with Data Complexity
There are many perennial issues with data: data quality, data access, data provenance, and data meaning. I will contend in…
The Data-Centric Revolution: Who Doesn’t Need Data-Centric?
Several years ago, as part of some strategic marketing, we decided to target certain companies and industries. The thinking was…
Data-Centric: How Big Things Get Done (in IT)
I read “How Big Things Get Done” when it first came out about six months ago.[1] I liked it then.…
The Data-Centric Revolution: Best Practices and Schools of Ontology Design
I was recently asked to present “Enterprise Ontology Design and Implementation Best Practices” to a group of motivated ontologists and…
The Data-Centric Revolution: “RDF Is Too Hard”
We hear this a lot. We hear it from very smart people. Just the other day we heard someone say…
Data Centric Revolution: Is a 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…
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,[1] that…
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,…
The Data-Centric Revolution: OWL as a Discipline
Many developers pooh-pooh OWL (the dyslexic acronym for the Web Ontology Language). Many decry it as “too hard,” which seems…