TOBY: A Tool for Exploring Data in Academic Survey Papers
Digital Libraries
2023-06-21 v1 Human-Computer Interaction
Information Retrieval
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.
Cite
@article{arxiv.2306.10051,
title = {TOBY: A Tool for Exploring Data in Academic Survey Papers},
author = {Tathagata Chakraborti and Jungkoo Kang and Christian Muise and Sarath Sreedharan and Michael Walker and Daniel Szafir and Tom Williams},
journal= {arXiv preprint arXiv:2306.10051},
year = {2023}
}