ontology

Reification is a tool in the bag of tricks that can be quite tricky to understand. Rather than waffle on in the abstract, let's take a look at a few examples.

When we start doing knowledge representation in Prolog, we start needing to describe the properties of relations so we can infer more than is in our recorded data. Symmetry, reflexivity and transitivity are the three main relationship properties you'll end up using. In this interactive post we take a look at how they can be encoded.

Knowledge Graphs are a hot topic, no wonder considering how powerful they can be. However, learning how to create, develop, and use them can be a bit of a minefield. In this post we provide a high-level overview and recommend some learning resources.

It’s tricky to find out how to set up RDFLib Graph to use a RDBS backend, but it can be done using SQLAlchemy and RDFLib-SQLAlchemy. This means it’ll support all the engines SQLAlchemy does, including MySQL and Postgres. I’ll highlight two gotchas to look out for when using RDFLib-SQLAlchemy and walk you through getting setup using a wrapper class to RDFLIB Graph.

Many of the unusual symbols we use when writing Description Logics are sadly not found on the keyboard. I wrote myself a little cheat sheet to remind myself of the correct unicode or LaTeX for the common symbols and added a short description of each symbol as well. It’s very useful to print out and keep near your keyboard so you can type Description Logics quickly and painlessly.

An introduction to programming the Semantic Web using Python and Flask. We’ll make an RDF file to describe ourselves, serve it via Flask, use data from it in a template, encode it into our HTML, and link to it from our HTML.