Fig. 2
From: FAIR and Interactive Data Graphics from a Scientific Knowledge Graph
Interactive views of sample data, meta-analyses, and stylized infographics. Charts shown here are specified by a SPARQL query (semantic context) as well as Vega-Lite specification (visual context). The snapshots of interactive data graphics shown here display (a) mechanical tensile testing data curated from Bandyopadhyay et al. (2005)48, transformed into a layered composite view; (b) a Weibull plot of dielectric testing data using custom y-axis scaling and the regression transform to estimate dielectric breakdown strength (DBS); (c) a meta-analysis of nanocomposite filler materials in curated research articles per year of publication, highlighted to show the trend for graphene; (d) a meta-analysis of entity-resolved compound names (computed by the ChemProps API34) versus curator-provided strings; (e) an infographic showing a dataset with increasingly interactive views; and (f) an explanatory graphic for viscoelastic data. These examples created for the materials science domain represent a small subset of the variety of datasets and visualizations made possible by using SPARQL queries and Vega-Lite specifications to capture interactive views of content from a knowledge graph database.
