Cody Dunne, Robert Gove, Ben Shneiderman, Judith Klavans, and Bonnie Dorr
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Action Science Explorer: Interactive Data Visualization for Rapid Understanding of Scientific Literature Cody Dunne, Robert Gove, Ben Shneiderman, Judith Klavans, and Bonnie Dorr University of Maryland, Human-Computer Interaction Lab www.cs.umd.edu/hcil Get more information at www.cs.umd.edu/ hcil/ase Data Import Users load the results of a database query. Article Groups Group articles manually or by metadata into hierarchical, overlapping groups. Search for Articles Use regular expressions to search metadata. Rank by Feature Select metadata or dynamically computed citation network statistics to rank articles. The ranking is shown in a list and colored by value. Filter Articles Use the double- ended slider to filter out articles in all views. Full Text PDF and Plain Text. Export References Easily export references to Word, OpenOffice, BibTeX, HTML, etc. Reference Management & Reviewing Imported articles are shown in table view with metadata. A preview below the table shows the reference, abstract, and any user- assigned review for selected articles. Citation Context Each article has citations and the surrounding context for each from the citing paper, containing: •summaries, •critical reception, and •citations to follow-up articles. Clicking on a citation context shows the citing paper’s full text. Citation Network Visualization Nodes show articles with edges between them showing citations. Nodes are arranged using a force- directed layout algorithm and colored by their ranking in the rank table. Community-Finding Algorithm Topologically related papers are grouped using Newman’s fast heuristic and shown using convex hulls. Find Trends, Outliers, & Errors Use scatterplots to find interesting data. Text w/Citation Links When clicked, each cited article is selected in all other views. Multi-Document Summarization The citation context of all selected documents is automatically summarized. The short summary shows the key points from the total citation context. Overview: Action Science Explorer (ASE) supports users in rapidly generating surveys of academic literature. ASE uses: •bibliometric lexical link mining to create a citation network and citation context, •clustering and multi-document summarization to extract key points, •and potent network analysis and visualization tools. This work has been partially supported by the National Science Foundation grant IIS 0705832: "iOPENER: A Flexible Framework to Support Rapid Learning in Unfamiliar Research Domains"
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Action Science Explorer: Interactive Data Visualization for Rapid Understanding of Scientific Literature. Cody Dunne, Robert Gove, Ben Shneiderman, Judith Klavans, and Bonnie Dorr. - PowerPoint PPT Presentation
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Action Science Explorer: Interactive Data Visualization for Rapid Understanding of Scientific LiteratureCody Dunne, Robert Gove, Ben Shneiderman, Judith Klavans, and Bonnie Dorr
University of Maryland, Human-Computer Interaction Lab www.cs.umd.edu/hcil
Get more information atwww.cs.umd.edu/hcil/ase
Data ImportUsers load the results of a database query.
Article GroupsGroup articles manually or by metadata into hierarchical, overlapping groups.
Search for ArticlesUse regular expressions to search metadata.
Rank by FeatureSelect metadata or dynamically computed citation network statistics to rank articles. The ranking is shown in a list and colored by value.
Filter ArticlesUse the double-ended slider to filter out articles in all views.
Full Text PDF and Plain Text.
Export ReferencesEasily export references to Word, OpenOffice, BibTeX, HTML, etc.
Reference Management & ReviewingImported articles are shown in table view with metadata. A preview below the table shows the reference, abstract, and any user-assigned review for selected articles.
Citation ContextEach article has citations and the surrounding context for each from the citing paper, containing:• summaries,• critical reception, and• citations to follow-up
articles. Clicking on a citation context shows the citing paper’s full text.
Citation Network VisualizationNodes show articles with edges between them showing citations. Nodes are arranged using a force-directed layout algorithm and colored by their ranking in the rank table.
Community-Finding AlgorithmTopologically related papers are grouped using Newman’s fast heuristic and shown using convex hulls.
Find Trends, Outliers, & ErrorsUse scatterplots to find interesting data.
Text w/Citation LinksWhen clicked, each cited article is selected in all other views.
Multi-Document SummarizationThe citation context of all selected documents is automatically summarized. The short summary shows the key points from the total citation context.
Overview: Action Science Explorer (ASE) supports users in rapidly generating surveys of academic literature. ASE uses:• bibliometric lexical link mining to create a citation network and
citation context, • clustering and multi-document summarization to extract key points,• and potent network analysis and visualization tools.
This work has been partially supported by the National Science Foundation grant IIS 0705832: "iOPENER: A Flexible Framework to Support Rapid Learning in Unfamiliar Research Domains"
