This is an interview with Dr. Jans Aasman, CEO of Franz, Inc. and designer of the Allegrograph knowledge graph engine. In this interview, we cover everything from the role of Lisp (and Lispers), the versatility of RDF hypergraphs, the value of Allegrograph, and the future of artificial intelligence, machine learning and inferential logic in the graph space.
While Knowledge Graph hype is nowhere near as loud as AI hype, there is no question that more and more organizations are turning to knowledge graphs to solve real-world problems.
Announcements Achieving endpoint visibility to ward off the threat of a breach has never been more important than it is in the age of data… Read More »DSC Weekly 19 July 2022: From Knowledge Graphs to Transformation as a Service
Robotic process automation (RPA) when it first gained attention five or so years ago disappointed me. Here was yet another stopgap measure, a digital form… Read More »Keeping Your Company’s Data Model IP
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
There’s an underlying theme to this week’s articles, which is a curious occurrence given that so much of our content is user-driven. That theme is… Read More »DSC Weekly Newsletter 10 May 2022: Data Meshes, Digital Twins, and 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)
As with many fields, knowledge graphs boast a wide array of specialized terms. This guide provides a handy reference to these concepts. Resource Description Framework… Read More »A Glossary of Knowledge Graph Terms
