Conference proceeding
Grand Challenge Award: Data Integration Visualization and Collaboration in the VAST 2008 Challenge
IEEE SYMPOSIUM ON VISUAL ANALYTICS SCIENCE AND TECHNOLOGY 2008, PROCEEDINGS, pp 197-198
01 Jan 2008
Abstract
The VAST 2008 Challenge consisted of four heterogeneous synthetic data sets each organized into separate mini-challenges. The Grand Challenge required integrating the raw data from these four data sets as well as integrating results and findings from team members working on specific mini-challenges. Modeling the problem with a semantic network provided a means for integrating both the raw data and the subjective findings.
Metrics
Details
- Title
- Grand Challenge Award: Data Integration Visualization and Collaboration in the VAST 2008 Challenge
- Creators
- Donald Pellegrino - Drexel UniversityChi-Chun Pan - Pennsylvania State UniversityAnthony Robinson - Pennsylvania State UniversityMichael Stryker - Pennsylvania State UniversityJunyan Luo - Pennsylvania State UniversityChris Weaver - Pennsylvania State UniversityPrasenjit Mitra - Pennsylvania State UniversityChaomei Chen - Drexel UniversityIan Turton - Pennsylvania State UniversityAlan MacEachren - Pennsylvania State University
- Contributors
- D Ebert (Editor)D Ebert (Editor)T Ertl (Editor)
- Publication Details
- IEEE SYMPOSIUM ON VISUAL ANALYTICS SCIENCE AND TECHNOLOGY 2008, PROCEEDINGS, pp 197-198
- Series
- IEEE Conference on Visual Analytics Science and Technology
- Publisher
- IEEE
- Number of pages
- 2
- Grant note
- National Visualization and Analytics Center, a U.S. Department of Homeland Security program
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000264748600028
- Scopus ID
- 2-s2.0-77949793138
- Other Identifier
- 991019168722704721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Software Engineering