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Knowledge Engineering

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.

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Allegrograph: From Lisp to SHACL

  • Kurt Cagle 

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.

Digital technology, internet network connection, big data, digit

Semantic Graph as the Next Step for Web Data Architecture

Webby data architects and modelers–the spider-like ones who use intelligent graph design and a bit of glue or another sticky substance to achieve their objectives–are focused on making joinery much more efficient and scaling a lot more useful with the help of more contextualized data.

Enchanted forest – little girl sitting under the glowing mushroo

From Knowledge Graphs To Knowledge Portals

  • Kurt Cagle 

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.

Business woman ,computer

DSC Weekly 26 July 2022: When Meetings Become Searchable

  • Kurt Cagle 

A century from now, historians will remark on a transformation that seemed subtle at the time but will have huge ramifications over time. Specifically, 2020 will be seen as the year when meetings became transparent.

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