Be more specific to help reduce the hype.
What do 1960s LISP programs for natural language understanding, 1980s Prolog programs for expert systems, and today’s use of large language models have in common? Nothing, really, except they’ve all been referred to as Artificial Intelligence.
Discussing graphs, RAG, GraphRAG, music...
Like a startup pivot, the technology turned out to be great for things other than a new kind of 'web'.
“Semantic web technology” refers to technology designed to create something that never got created. That’s OK. Lots of great things were and continue to be created.
Revising some queries to accommodate revised data.
O’Reilly books such as Learning SPARQL have an errata page where anyone can submit corrections for the book, and I appreciate all entries. Some are just basic typo misspellings, which is embarrassing. Some are examples that no longer work because a certain SPARQL endpoint is no longer up or, in several cases, because DBpedia entries got revised to describe resources using different properties than they did when the book was published.
Pretty impressive.
With SPARQL, of course.
(This may look like a long blog entry, but it’s mostly sample schemas, data, and shapes. It should be a quick read.)
And only the foreign literals.
It’s easy enough for a SPARQL query to specify that you only want literal values that are tagged with a particular spoken language such as English or French. I had a more complex condition to express recently that has happened to me fairly often: how do I retrieve all the data for a particular resource except the literals tagged in a foreign language? I want all the triples with object property values, and I want all the ones with literal values, regardless of type, unless they are tagged…
My personal quick reference
It seems like every few months I have a project where I need to parse some JSON and pull out certain parts. Maybe the JSON came in JSON files, or maybe I retrieved it from an API. The duration between each of these occasions is long enough that I’ve had to relearn some basics each time, so a year or two ago I made a sample JSON file that demonstrates a few data structures and features, and then I wrote a Python demo script that parses them. Now I look at that script to review the basics…
Bob DuCharme's weblog, mostly on technology for representing and linking information.
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