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Vispedia: interactive visual exploration of wikipedia data via search-based integration
Bryan Chan1, Leslie Wu, Justin Talbot
1Stanford University. bryanc@stanford.edu
IEEE Transactions on Visualization and Computer Graphics
|November 8, 2008
Summary
Vispedia simplifies data visualization by integrating data from Wikipedia. This web-based system enables users to easily discover, combine, and visualize data from multiple articles, making complex data accessible.
Area of Science:
- Computer Science
- Data Visualization
- Web Technologies
Background:
- Web data, like Wikipedia, is often semi-structured with complex schemas.
- Integrating this data into structured tables for visualization is costly and time-consuming.
- Existing visualization tools struggle with the 'long tail' of diverse, unstructured data.
Purpose of the Study:
- To present Vispedia, a web-based system designed to reduce data integration costs for visualization.
- To enable users to discover, integrate, and visualize data from multiple Wikipedia articles.
- To broaden access to data visualization for a wider audience and a broader class of data.
Main Methods:
- Developed Vispedia, a web-based visualization system.
- Utilized a fast path search algorithm over DBpedia, a semantic graph from Wikipedia.
- Enabled users to browse Wikipedia, select data tables, and search for additional data columns.
Main Results:
- Vispedia successfully reduces the cost and complexity of data integration for visualization.
- Users could quickly create effective visualizations across diverse domains.
- The system facilitated on-demand data integration for visualization tasks.
Conclusions:
- Vispedia effectively addresses the challenges of visualizing semi-structured web data.
- The system empowers users to perform data integration and create visualizations with ease.
- Vispedia advances the field of data visualization by supporting a wider range of data sources and users.
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