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Writing on knowledge graphs, ontologies, and data-centric architecture

Articles and working notes from the people at Semantic Arts, newest first.

Extending an upper-level ontology (like GIST)

by Semantic Arts | gist & Open Standards

Michael Sullivan is a Principal 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, then you will know I am a big fan of […]

The Data-Centric Revolution: Zero Copy Integration

by Dave McComb | Business Case & ROI

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 […]

Knowledge Graph Modeling: Time series micro-pattern using GIST

by Semantic Arts | Knowledge Graphs & Ontologies

Michael Sullivan is a Principal 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 […]

The Data-Centric Revolution: Detour/Shortcut to FAIR

by Dave McComb | Business Case & ROI

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 […]

The Data-Centric Revolution: An Interview with Dave McComb

by Dave McComb | Business Case & ROI

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 […]

Six Enterprise Knowledge Graph Anti-Patterns

by Dave McComb | Knowledge Graphs & Ontologies

The truth is that despite the outsider’s perception that the world of technology just keeps getting better, faster and less expensive, over 70% of enterprise digital transformations fail to achieve their objectives (McKinsey, 2019). Most commentary on the subject points the finger […]

Semantic Messages

by Justin Dowdy | Data-Centric Architecture

Interfaces and Interactions Too Much Specificity And Not Enough Play I recently saw this tweet and it reminded me about something I’ve wanted to think and talk about. Satnam continues configuration management has not had the attention enjoyed by academic […]

The Data-Centric Revolution: OWL as a Discipline

by Dave McComb | Business Case & ROI

Many developers pooh-pooh OWL (the dyslexic acronym for the Web Ontology Language). Many decry it as “too hard,” which seems bizarre, given that most developers I know pride themselves on their cleverness (and, as anyone who takes the time to […]

The Greatest Sin of Tabular Data

by Dave McComb | Data-Centric Architecture

We recently came across this great article titled “The greatest sin of tabular data”. It is an excellent summary of the kind of work we do for our clients and how they benefit. You can read it at The greatest […]

Software Development process expressed in a Knowledge Graph

by Justin Dowdy | Knowledge Graphs & Ontologies

More times than not we receive pushback on the use of RDF (the standard model for data exchange on the web) being difficult. However, the simplicity of triplestores (Subject—Predicate—Object) and logically composing queries with the written language make this form […]

Resisting the Temptation of Fused Edges

by Justin Dowdy | The Whiteboard

Fused Edges If you are doing domain modeling and using a graph database you might be tempted to use fused edges. You see them around the semantic web. But you should resist the temptation. What In a graph database a […]

Get the gist: start building simplicity now

by Dave McComb | gist & Open Standards

While organizing data has always been important, a noticeably profound interest in optimizing information models with Semantic Knowledge graphs has arisen. LinkedIn, AirBnB, in addition to giants Google and Amazon use graphs, but without a model for connecting concepts with […]

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