Building the DiSSCo Knowledge Graph

Linking building in DiSSCo, to build the unified knowledge graph around and between digital specimens is something I’ve been thinking about for a few months now. How would you do it, authoritatively with confidence, in an automated way at scale for 1.5 billion specimens across European natural science collections? This is quite a challenge. My experience of doing it manually (see these examples) can basically be characterized as fishing in deep pools for something you know is there but can’t see!15984919575_b3fe17b627_k

Continue reading “Building the DiSSCo Knowledge Graph”

Every customer has one – Losing privacy to pernicious smarts

Several months ago, moving into a new home I discovered the central heating system is controlled by ‘smart devices’. To make it work I had to invest in a ‘home hub’, initialise and pair the boiler controller and the smart thermostat to the hub, and install an app on my smart phone to control it. It’s quite good really. I can sit in my comfy chair and if I start feeling a bit chilly I just reach for the phone and crank up the temperature a bit. And when I’ve been out for the day and I’m on the way home I can reach for the phone and turn the heating on so that it’s toasty warm when I arrive.

Continue reading “Every customer has one – Losing privacy to pernicious smarts”

Reference models: What are they and why do we need them?

Introduction

I’m often asked about Reference Models. What are they? Why do we need one? What benefit does it give? How do I use it? Commonly these questions are coming up when we talk about e-Science and building e-infrastructures to support research; for example around research infrastructures for the environmental sciences (ENVRI) where we have the ENVRI Reference Model (ENVRI RM). The questions come up all the time. Continue reading “Reference models: What are they and why do we need them?”