Gartner has put “Knowledge Graphs” at the peak of inflated expectations. If you are a Knowledge Graph software vendor, this might be good news. Companies will be buying knowledge graphs without knowing what they are. I’m reminded of an old cartoon of an executive dictating into a dictation machine: “…and in closing, in the future... Continue reading→

For the last 20 years,  Semantic Arts has been helping firms design and build enterprise ontologies to get them on the data-centric path. We have learned many lessons from the enterprise that can be applied in the construction of smart city ontologies. What is similar between the enterprise and smart cities? They both have thousands... Continue reading→

There was a time when RDF and triplestores were only seen through the lens of massive data integration. Teams went to great extremes to show how many gazillion triples per second their latest development could ingest, and large integrations did likewise with enormous datasets. This was entirely appropriate and resulted in the outstanding engineering achievements... Continue reading→

One of the ideas we promote is elegance in the core data model in a Data-Centric enterprise.  This is harder than it sounds.  Look at most application-centric data models: you would think they would be simpler than the enterprise model, after all, they are a small subset of it.  Yet we often find individual application... Continue reading→

Achieving clarity in your data ecosystem is more difficult than ever these days. With false news, cyber-attacks, social media, and a consistent blitz of propaganda – how does one sort it all out? Even our data and information practices have suffered from this proliferation (data warehouse, data lake, data fabric, data mesh … this is... Continue reading→

Written by Peter Winstanley The Data-Centric Architecture Forum was a success! If growth of participants is an indicator of the popularity of an idea, then the Third Annual Data-Centric Architecture Forum is reflecting a strong increase in popularity, for this year over 230 participants joined together for a three-day conversation.  This is a huge increase on... Continue reading→

We recently recast large portions of the telecom Frameworx Information Model into an Enterprise Ontology using patterns and reusable parts of the gist upper ontology.  We found that extending gist with the information content of the Frameworx model yields a simple telecom model that is easy to manage, federate, and extend, as described below.  Realizing... Continue reading→

Let’s Stop Basing Capital Cost Decisions on Lagging Indicators. Remember the good old days of emerging digital technology? Accessing information through a dial-up internet connection. Saving data to floppy discs or CDs. Sending emails to have them printed for storage. Mobile connectivity was new, exciting, and… slow compared to what we have today. In the... Continue reading→

by Phil Blackwood, Ph.D. Without a doubt every business needs to have a clear idea of who its customers are and would love to have a 360 degree view of each customer. However, this customer data is typically scattered across hundreds of applications, its meaning is embedded in code written years ago, and much of... Continue reading→