Implementing A Triple Store /

Implementing a Triple Store from the Ground Up - Part 1

I’ve long been fascinated with semantic web technologies, the potential of RDF and understanding how to implement a triple store from the ground up. Databases are one of those technologies - like compilers - that we often take for granted, and yet which beneath the hood employs some very sophisticated algorithms and data structures to achieve acceptable levels of performance.

In this new article series, I’ll implement a triple store using techniques introduced in recent years for efficiently storing and processing indexes on large knowledge graphs. I’ll use C# 10 and .NET 6 as the platform, with the hope that I can create something that works on most common platforms, as well as supporting deployment via docker containers. Expect a few digressions into programming techniques in C#, where it’s interesting, but otherwise I’ll try to stick to discussions about triple stores and high performance data stores.

Since this is a kind of intro post, I figure I’d describe the lay of the land, and what I hope to cover. Since the implementation of databases is a very low level task, I’ll be working from the bottom up and moving to progressively more usable code as I go.

 Implementing A Triple Store

  1. Memory Mapped Files
  2. Implementing a Triple Store from the Ground Up - Part 1