Information and knowledge assisted analysis and visualization of large-scale data

Chaoli Wang, Kwan-Liu Ma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

The ever-increasing sizes of data produced from a variety of scientific studies post a formidable challenge for the subsequent data analysis and visualization tasks. While steady advances in graphics hardware enable faster rendering, achieving interactive visualization of large data must also rely on effective data filtering and organization. In many cases, the best interactivity can only be obtained by taking into account the intrinsic properties of the data and domain knowledge to better reduce and organize the data for visualization. As a result, in recent years, we have seen increasing research and development efforts into the area of Information and Knowledge assisted Visualization (IKV). In this paper, we survey research in IKV of scientific data and also identify a few directions for further work in this emerging area.

Original languageEnglish (US)
Title of host publication2008 Workshop on Ultrascale Visualization, UltraVis 2008
Pages1-8
Number of pages8
DOIs
StatePublished - Dec 1 2008
Event2008 Workshop on Ultrascale Visualization, UltraVis 2008 - Austin, TX, United States
Duration: Nov 16 2008Nov 16 2008

Other

Other2008 Workshop on Ultrascale Visualization, UltraVis 2008
CountryUnited States
CityAustin, TX
Period11/16/0811/16/08

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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    Wang, C., & Ma, K-L. (2008). Information and knowledge assisted analysis and visualization of large-scale data. In 2008 Workshop on Ultrascale Visualization, UltraVis 2008 (pp. 1-8). [5154057] https://doi.org/10.1109/ULTRAVIS.2008.5154057