Kurt Cagle Explores the Emerging Web
For the next three hundred years, π would reign supreme in mathematics as perhaps the single most well known constant ever. However, for several years, Euler debated whether to use π to indicate the circumference of a circle divided by the diameter (a ratio of about 3.1415927…) or to indicate the circumference divided by the ratio (a ratio of 6.2831854…). His decision, ultimately, to go with the former may have complicated mathematics far more than he’d planned.
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Ontologists, especially neophyte data modelers, often get caught up in the definition of classes, wanting to treat everything as a class. However, there are two types of things that don’t actually fit cleanly into traditional distinctions of class: roles and categorizations. I’m not going to keep the focus of this article on roles, preferring to treat categorizations separately, though they have a lot of overlap.
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I am Kurt Cagle, or, according to my birth certificate, Kurt Alan Cagle. My name is Kurt Cagle.
Now, think about that for a bit. The to be verb is remarkably slippery, and it is slippery in almost every language on the planet that has such a construct.
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Okay, you’ve just finished filling up the data lake with your data hose, the data warehouse is filled to the brim with data bricks (if not Data Bricks), your data scientists are…
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Spend any time at all in the machine learning space, and pretty soon you will encounter the term “feature”. It’s a term that may seem self-evident at first, but it very quickly…
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In the next several months, it is very likely that the following scenario will be repeated over and over again. The company that you work for sends out email notices saying that, with the pandemic now in the rearview mirror, workers will be expected to return full time to the office, or face being fired.
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Over the years, I’ve worked on a number of semantics projects. While some of them involved pulling data from relational databases, one thing that seemed to emerge was that a significant proportion of the metadata within an organization – the operational data that controls everything from movie production to publications to describing businesses – ultimately ended up residing in spreadsheets, specifically, Excel spreadsheets.
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Education, especially college education, is facing an existential crisis. Partially due to demographic factors, and in part due to decisions made by policy-makers at national, local, and academic levels, colleges and universities are struggling to stay afloat. What’s more, there are signs that conditions are likely to get far worse for the academic world for at least the next couple of decades. The question this raises ultimately comes down to “what is it that we as a society want out of our education institutions, and what is likely going to need to change for them to survive moving forward?” I hope to be able to provide at least some answers to these question in this issue of The Cagle Report.
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SPARQL is a powerful language for working with RDF triples. However, SPARQL can also be difficult to work with, so much so that it often is not utilized anywhere near as often for its advanced capabilities, which include aggregating content, building URIs, and similar uses. This is the second piece in my exploration of OntoText’s GraphDB database, but many of these techniques can be applied with other triple stores as well.
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Markdown has become the default choice for producing Readme documentation, especially on GitHub. The new DSC Wordpress environment now supports it natively.
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