TOBY: A Tool for Exploring Data in Academic Survey Papers
Tathagata Chakraborti, Jungkoo Kang, Christian Muise, Sarath, Sreedharan, Michael Walker, Daniel Szafir, and Tom Williams
TL;DR
TOBY is a visualization tool designed to help users explore and analyze the content of academic survey papers through hierarchical, similarity, citation, and recommendation views.
Contribution
The paper introduces TOBY, a novel visualization tool that integrates multiple views to facilitate comprehensive exploration of survey papers' content.
Findings
Effective visualization of survey content enhances understanding.
TOBY's features support diverse exploration tasks.
Deployments demonstrate practical utility of the tool.
Abstract
This paper describes TOBY, a visualization tool that helps a user explore the contents of an academic survey paper. The visualization consists of four components: a hierarchical view of taxonomic data in the survey, a document similarity view in the space of taxonomic classes, a network view of citations, and a new paper recommendation tool. In this paper, we will discuss these features in the context of three separate deployments of the tool.
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Taxonomy
TopicsData Visualization and Analytics · Advanced Text Analysis Techniques · Species Distribution and Climate Change