The State of the Art in Creating Visualization Corpora for Automated Chart Analysis
Chen Chen, Zhicheng Liu
Abstract
Abstract We present a state‐of‐the‐art report on visualization corpora in automated chart analysis research. We survey 56 papers that created or used a visualization corpus as the input of their research techniques or systems. Based on a multi‐level task taxonomy that identifies the goal, method, and outputs of automated chart analysis, we examine the property space of existing chart corpora along five dimensions: format, scope, collection method, annotations, and diversity. Through the survey, we summarize common patterns and practices of creating chart corpora, identify research gaps and opportunities, and discuss the desired properties of future benchmark corpora and the required tools to create them.
Topics & Concepts
Computer scienceVisualizationChartScope (computer science)Benchmark (surveying)Information retrievalData scienceNatural language processingArtificial intelligenceProgramming languageCartographyStatisticsMathematicsGeographyData Visualization and AnalyticsAdvanced Text Analysis TechniquesComputational and Text Analysis Methods