Blog
Writing on knowledge graphs, ontologies, and data-centric architecture
Articles and working notes from the people at Semantic Arts, newest first.
Do Data Lakes Make My Enterprise Look Data-Centric?
by Dave McComb | The Whiteboard
Where Did “Data Lakes” Come From? Many large firms are implementing “Data Lakes.” The term, and the practice, came into being when two trends collided. The first trend was the upwelling of demand for “Big Data”-inspired architectures. Firms found Big […]
Data-Centric vs. Data-Driven
by Dave McComb | Data-Centric Architecture
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 […]
Debugging Enterprise Ontologies
by Michael Uschold | Knowledge Graphs & Ontologies
Michael Uschold gave a talk at the International Workshop on Completing and Debugging the Semantic Web held in Crete on May 30, 2016. Here is a preview of the white paper, “Finding and Avoiding Bugs in Enterprise Ontologies” by Michael […]
Introduction to FIBO Quick Start
by Dave McComb | Financial Services
In brief: FIBO, the Financial Industry Business Ontology, is a shared business vocabulary for the financial industry, championed by the EDM Council, a consortium of major financial institutions. This 2016 post introduced Semantic Arts’ FIBO Quick Start offering for firms […]
Data-Centric and Model Driven
by Dave McComb | Data-Centric Architecture
Model Driven Development Model Driven seems to be enjoying a bit of an upsurge lately. Gartner has recently been hyping (is it fair to accuse the inventors of the hype curve of hyping something? or is it redundant?) what they […]
Whitepaper: Quantum Entanglement, Flipping Out and Inverse Properties
by Michael Uschold | Knowledge Graphs & Ontologies
We take a deep dive into the pragmatic issues regarding the use of inverse properties when creating OWL ontologies. For a shorter version of this paper, see Naming an Inverse Property: Yay or Nay? Property Inverses and Perspectives An OWL […]
Naming an Inverse Property: Yay or Nay?
by Michael Uschold | Knowledge Graphs & Ontologies
Figure 1: Quantum Entanglement For a fuller treatment of this topic, see the whitepaper: Quantum Entanglement, Flipping Out and Inverse Properties. An OWL object property is a way that two individuals can be related to each other. Direction is important. […]
Semantic Modeling: Getting to the Core
by Dave McComb | Data-Centric Architecture
Most large organizations have a lot of data and very little useful information. The reason being, every time they encounter a problem, they build (or more often buy) another computer application system. Each application has its own completely arbitrary data […]
The Data-Centric Revolution: The Evolution of the Data-Centric Revolution
by Dave McComb | Data-Centric Architecture
A history of the data-centric idea, from punched cards and magnetic tape through databases, ERP, data warehouses, master data, canonical messages, REST, big data, and data lakes.
The Data-Centric Revolution: The Warning Signs
by Dave McComb | Business Case & ROI
Of all the dangers that befall those on the journey to data centrism, by far the greatest danger is Appliosclerosis. Appliosclerosis, or as lay people know it- hardening of the silos, can strike any one at any time, but some […]
What’s exciting about SHACL: RDF Data Shapes
by Dave McComb | gist & Open Standards
An exciting new standard is under development at the W3C to add some much needed functionality to OWL. The main goals are to provide a concise, uniform syntax (presently called SHACL for Shapes Constraint Language) for both describing and constraining […]
Governance in a Data-Centric Environment
by Dave McComb | Data-Centric Architecture
How a Data-Centric Environment Becomes Harder to Govern A traditional data landscape has the advantage of being extremely silo-ed. By taking your entire data landscape and dividing it into thousands of databases, there is the potential that each database is […]
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