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.
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Visualising Knowledge Graphs