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?


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?”