2019

Exploring JSON-LD

And of course, querying it with SPARQL.

I paid little attention to JSON-LD until recently. I just thought of it as another RDF serialization format that, because it’s valid JSON, had more appeal to people normally uninterested in RDF. Dan Brickley’s December tweet that “JSON-LD is much more widely used than Turtle” inspired me to look a little harder at the JSON-LD ecosystem, and I found a lot of great things. To summarize: the amount of JSON-LD data out there is exploding, and we can query it with SPARQL, so…

Changing my blog's domain name and platform

New look, new domain name.

For too long I’ve postponed the migration of my blog to something more phone-friendly. I accumulated many notes about doing this, and I also wanted to move more of my online life from the snee.com domain to bobdc.com. When someone recently asked me about changing the stylesheet (I have dug and dug in the aforementioned notes but can’t remember who and will add their name here if I ever find it) I thought I’d take a deep breath and follow through with this. This is the last new…

curling SPARQL

A quick reference.

I’ve been using the curl utility to retrieve data from SPARQL endpoints for years, but I still have trouble remembering some of the important syntax, so I jotted down a quick reference for myself and I thought I’d share it. I also added some background.

Querying machine learning distributional semantics with SPARQL

Bringing together my two favorite kinds of semantics.

When I wrote Semantic web semantics vs. vector embedding machine learning semantics, I described how distributional semantics–whose machine learning implementations are very popular in modern natural language processing–are quite different from the kind of semantics that RDF people usually talk about. I recently learned of a fascinating project that brings RDF technology and distributional semantics together, letting our SPARQL query logic take advantage of entity similarity as rated…