Ontology Hack – Make Use of Existing Enterprise Data Assets Instead of Starting from Scratch As an author of a (reasonably) popular book, I often… Read More »How to Get Started on an Ontology Without Really Trying
Knowledge graphs are network graphs that link related concepts and properties together to create a form of inferencing engine, with knowledge engineering being the programming aspect of graph usage. Explore how knowledge graphs are created and queried, how they are used as part of a broader form of enterprise metadata management, and how they tie into ML and the IoT.
Data management agility has become of key importance to organizations as the amount and complexity of data continues to increase, along with the desire to… Read More »The Foundation of Data Fabrics and AI: Semantic Knowledge Graphs
Data management (DM) discussions can be frustrating because both those feeling the pain and the consultants who try to help them are–90+ percent of the… Read More »The long game: Desiloed systems and feedback loops by design (I of II)
Warning: This is going to get heavy into Turtle code, but I think there’s enough here for it to be worth reading if you are… Read More »The Graph of Thrones: the Now Graph and Eternal Graph in RDF-Star Modeling
My mentors and compadres at Semantic Arts hold a Data-Centric Architecture Forum (DCAF) every year in Fort Collins, Colorado. It’s a chance for technically inclined… Read More »Seven data-centric architecture innovations that businesses can’t afford to overlook
I help lead a working group focused on personal knowledge graphs (PKGs). Lately, it’s functioned as a discussion and demo evaluation group for new technologies and… Read More »What Personal Knowledge Graphs Have to Do with Business
It is easy, when dealing with data, to think of it as something tangible. More precisely, data as water (or as oil) has become such… Read More »DSC Weekly Newsletter 22 March 2022: The Shape of Data