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Meet up

Visualising Knowledge Graphs

Tuesday, 17th September at CodeNode, London

This meetup was organised by Connected Data London in September 2019

Ever struggled to visualise knowledge graphs? Do you want to know what happens when graph visualisation goes wrong?! Join our fantastic speakers as they show you how to realise your knowledge graph ambitions and tips to avoid common pitfalls!

Visualising Knowledge Graphs

Knowledge graphs are an ambition many organisations have to integrate, organise and analyse their data. Visualisations are a great way to make sense of knowledge graphs, but they can only be useful if the data underpinning them is insightful and usable. In this talk, we’ll explore each level of the stack of an application which ingests, harmonizes, models and visualises data. We’ll look at how to make the data available via a restful endpoint and the things to consider in modelling the data in both the backend and frontend. The landscape of both proprietary and open source tools available for network visualisations will be discussed and backed up with different examples, from visualising the evolution of music to accelerating drug discovery for pharmaceutical researchers.

Duncan Grant

I am an experienced JavaScript developer with a keen interest in hacking and visualising data in libraries such as D3. I'm also a big fan of SPARQL and graph databases such as Neo4j and ArangoDB.

When Graph Visualisation Goes Wrong - Some Pitfalls and How to Avoid Them

A run through of some of the worst connected data visualisations I've seen, some thoughts on why they didn't work - and what you can do to avoid falling into the same traps.

Thanks to our sponsors

Attending Members

Overview

Ever struggled to visualise knowledge graphs? Do you want to know what happens when graph visualisation goes wrong?! Join our fantastic speakers as they show you how to realise your knowledge graph ambitions and tips to avoid common pitfalls!

Visualising Knowledge Graphs

Knowledge graphs are an ambition many organisations have to integrate, organise and analyse their data. Visualisations are a great way to make sense of knowledge graphs, but they can only be useful if the data underpinning them is insightful and usable. In this talk, we’ll explore each level of the stack of an application which ingests, harmonizes, models and visualises data. We’ll look at how to make the data available via a restful endpoint and the things to consider in modelling the data in both the backend and frontend. The landscape of both proprietary and open source tools available for network visualisations will be discussed and backed up with different examples, from visualising the evolution of music to accelerating drug discovery for pharmaceutical researchers.

Duncan Grant

I am an experienced JavaScript developer with a keen interest in hacking and visualising data in libraries such as D3. I'm also a big fan of SPARQL and graph databases such as Neo4j and ArangoDB.

When Graph Visualisation Goes Wrong - Some Pitfalls and How to Avoid Them

A run through of some of the worst connected data visualisations I've seen, some thoughts on why they didn't work - and what you can do to avoid falling into the same traps.

Thanks to our sponsors

Who's coming?

Attending Members