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VIS Author Profiles: Interactive Descriptions of Publication Records Combining Text and Visualization
IEEE Transactions on Visualization and Computer Graphics
|August 24, 2018
Summary
VIS Author Profiles offers a novel way to analyze researcher expertise by integrating text and visuals. This approach provides a comprehensive overview of publication records, research trends, and collaborations.
Area of Science:
- Bibliometrics and Scientometrics
- Information Visualization
- Computer Science
Background:
- Assessing researcher expertise relies on publication records and collaboration networks.
- Current digital libraries present raw publication lists, while visualizations address specific subproblems.
- A need exists for multifaceted analysis of publication data, integrating low-level details with high-level abstractions.
Purpose of the Study:
- To present VIS Author Profiles, a novel system for generating integrated textual and visual descriptions of publication records.
- To highlight patterns in publication data, including statistics, research topic evolution, and collaboration relationships.
- To provide users with on-demand access to underlying data and analysis explanations.
Main Methods:
- Leveraging template-based natural language generation for summarizing publication statistics and research trends.
- Integrating interactive visualizations with textual descriptions for a cohesive user experience.
- Developing a system that mixes low-level publication data with high-level abstractions and background information.
Main Results:
- VIS Author Profiles generates comprehensive descriptions of researcher publication records.
- Integrated visualizations are interactively connected with each other and the text.
- The system was compared to existing approaches, demonstrating its usefulness in realistic application scenarios.
Conclusions:
- VIS Author Profiles provides a novel and integrated approach to understanding researcher profiles.
- The system effectively combines textual summaries and interactive visualizations for enhanced analysis.
- This approach addresses user information needs by offering diverse perspectives on publication records and collaborations.
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