Blog
Writing on knowledge graphs, ontologies, and data-centric architecture
Articles and working notes from the people at Semantic Arts, newest first.
The New gist Model for Quantitative Data
by Phil Blackwood | gist & Open Standards
Phil Blackwood Every Enterprise can benefit from having a simple, standard way to represent quantitative data. In this blog post, we will provide examples of how to use the new gist model of quantitative data released in gist version 13. […]
The Data-Centric Revolution: Who Doesn’t Need Data-Centric?
by Dave McComb | Business Case & ROI
Four years after naming target and avoid markets for data-centric work, what Semantic Arts got right and wrong, and why hotel and restaurant chains turned out not to need data-centric at all.
The Data-Centric Revolution: Best Practices and Schools of Ontology Design
by Dave McComb | Business Case & ROI
This article originally appeared at The Data-Centric Revolution: Best Practices and Schools of Ontology Design – TDAN.com. Subscribe to TDAN directly for this and other great content! I was recently asked to present “Enterprise Ontology Design and Implementation Best Practices” […]
Financial Data Transparency Act “PitchFest”
by Semantic Arts | Financial Services
The Data Foundation (Data Foundation PitchFest) hosted at PitchFest on “Unlocking the vision of the Financial Data Transparency Act” a few days ago. Selected speakers were given 10 minutes to bring their best ideas on how to use the improved […]
How to Take Back 40-60% of Your IT Spend by Fixing Your Data
by Semantic Arts | Business Case & ROI
Creating a semantic graph foundation helps your organization become data-driven while significantly reducing IT spend Organizations that quickly adapt to changing market conditions have a competitive advantage over their peers. Achieving this advantage is dependent on their ability to capture, […]
HR Tech and The Kitchen Junk Drawer
by JT Metcalf | Data-Centric Architecture
I often joke that when I started with Semantic Arts nearly two years ago, I had no idea a solution existed to a certain problem that I well understood. I had experienced many of the challenges and frustrations of an […]
The Data-Centric Revolution: “RDF is Too Hard”
by Dave McComb | Business Case & ROI
This article originally appeared at The Data-Centric Revolution: “RDF is Too Hard”—TDAN.com. Subscribe to The Data Administration Newsletter for this and other great content! By Dave McComb We hear this a lot. We hear it from very smart people. Just […]
Morgan Stanley, Global Fortune 100 Financial Institution, Transforms Information & Knowledge Management
by Dave McComb | Financial Services
Morgan Stanley is one of the largest investment banking and wealth management firms with offices in more than 42 countries and more than 60,000 employees, ranking 67th on the 2018 Fortune 500 list of the largest US corporations by total […]
gist Jumpstart
by Phil Blackwood | gist & Open Standards
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 […]
Data-Centric Revolution: Is Knowledge Ontology the Missing Link?
by Dave McComb | Business Case & ROI
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 […]
A Knowledge Graph for Mathematics
by Phil Blackwood | Knowledge Graphs & Ontologies
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 […]
The ABCs of QUDT
by Phil Blackwood | gist & Open Standards
QUDT — Quantities, Units, Dimensions and Types — is the open standard for representing units of measurement in semantic data. This is a practical introduction: what QUDT is, why enterprise data models need it, and how it relates to gist, […]
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