HCOct 26, 2021

Argo Scholar: Interactive Visual Exploration of Literature in Browsers

arXiv:2110.14060v13 citationsHas Code
Originality Synthesis-oriented
AI Analysis

This tool addresses the need for researchers to efficiently explore and share up-to-date literature, though it is incremental as it builds on existing data and visualization methods.

The authors tackled the problem of discovering and making sense of research literature by introducing Argo Scholar, an open-source, web-based visualization tool that queries and visualizes Semantic Scholar's live data of almost 200 million papers, enabling real-time personalized exploration and easy sharing of results.

Discovering and making sense of relevant research literature is fundamental to becoming knowledgeable in any scientific discipline. Visualization can aid this process; however, existing tools' adoption and impact have often been constrained, such as by their reliance on small curated paper datasets that quickly become outdated or a lack of support for personalized exploration. We introduce Argo Scholar, an open-source, web-based visualization tool for interactive exploration of literature and easy sharing of exploration results. Argo Scholar queries and visualizes Semantic Scholar's live data of almost 200 million papers, enabling users to generate personalized literature exploration results in real-time through flexible, incremental exploration, a common and effective method for researchers to discover relevant work. Our tool allows users to easily share their literature exploration results as a URL or web-embedded IFrame application. Argo Scholar is open-sourced and available at https://poloclub.github.io/argo-scholar/.

Code Implementations1 repo
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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