Latest Posts


  • The Cagle Report

    I had set this site up as the host for The Cagle Report. However, a hack attack left it in bad shape, and I’m in the process of rebuilding the site. More recent content is available on my substack sites:… Continue reading

    The Cagle Report
  • Dgraph: Exploring a Semantic Graph Database

    This is the first analysis for The Cagle Report, a look at the ⁠Dgraph JSON Graph database⁠ with GraphQL support. The following article is a paid analysis of a software product undertaken with the understanding that it is intended to… Continue reading

    Dgraph: Exploring a Semantic Graph Database
  • Modeling Corner: Events, Meetings and RDF-Star

    This is a new feature for me, focusing on facets of data modeling, RDF, SPARQL, SHACL, and related semantic content, as well as their applicability in machine learning, making it easier to separate out these from my more industry (or… Continue reading

    Modeling Corner: Events, Meetings and RDF-Star
  • Why AI Bots Are Sociopaths

    In the current discussions about ChatGPT and the potential (and dangers) of AIs, one continent that you are likely to hear fairly loudly from are those who will argue that computers are not anywhere near being intelligent, and as such,… Continue reading

    Why AI Bots Are Sociopaths
  • Cycles, Perturbations, Transients, and Capitalism’s End

    I’ve been having an interesting conversation with readers on Linked In on the nature of trends. I suppose that this falls into the realm of data science, or perhaps futurism, but from my perspective, it’s simply a set of tools… Continue reading

    Cycles, Perturbations, Transients, and Capitalism’s End
  • Figuring Out Vs. Knowing

    I had a chance (finally) to read Dean Allemang’s recent article about the 2023 KGC Conference, Woolf at the Door: LLMs and Knowledge Graphs. First, I loved the Virginia Woolf reference – very, very clever. However, one point Dean made… Continue reading

    Figuring Out Vs. Knowing
  • When the Jobs Don’t Come Back

    Meta laid of another 5,000 people today, many from its content moderation division. Companies are framing these massive cuts as streamlining operations, but let’s be blunt – investors are driving this purge, trying to get a quick cash boost to… Continue reading

    When the Jobs Don’t Come Back
  • Transformational Tricks for RDF/SPARQL

    I gave this tutorial at the 2023 Knowledge Graph Conference at Cornell University. The tutorial included a demo showcasing how SPARQL UPDATE and named graphs can be used to create transactional workflows. The demo works with a “superheroes.ttf” RDF file… Continue reading

    Transformational Tricks for RDF/SPARQL
  • Thoughts on the Societal Impacts of Generative AI

    Much of my writing in the last few weeks has looked at AI and knowledge graphs, about which I will speak far more in time. However, I wanted to shift gears here and explore a different question: How big a… Continue reading

    Thoughts on the Societal Impacts of Generative AI