Share Email Print

Proceedings Paper

Scalable metadata environments (MDE): artistically impelled immersive environments for large-scale data exploration
Author(s): Ruth G. West; Todd Margolis; Andrew Prudhomme; Jürgen P. Schulze; Iman Mostafavi; J. P. Lewis; Joachim Gossmann; Rajvikram Singh
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Scalable Metadata Environments (MDEs) are an artistic approach for designing immersive environments for large scale data exploration in which users interact with data by forming multiscale patterns that they alternatively disrupt and reform. Developed and prototyped as part of an art-science research collaboration, we define an MDE as a 4D virtual environment structured by quantitative and qualitative metadata describing multidimensional data collections. Entire data sets (e.g.10s of millions of records) can be visualized and sonified at multiple scales and at different levels of detail so they can be explored interactively in real-time within MDEs. They are designed to reflect similarities and differences in the underlying data or metadata such that patterns can be visually/aurally sorted in an exploratory fashion by an observer who is not familiar with the details of the mapping from data to visual, auditory or dynamic attributes. While many approaches for visual and auditory data mining exist, MDEs are distinct in that they utilize qualitative and quantitative data and metadata to construct multiple interrelated conceptual coordinate systems. These "regions" function as conceptual lattices for scalable auditory and visual representations within virtual environments computationally driven by multi-GPU CUDA-enabled fluid dyamics systems.

Paper Details

Date Published: 28 February 2014
PDF: 10 pages
Proc. SPIE 9012, The Engineering Reality of Virtual Reality 2014, 901205 (28 February 2014); doi: 10.1117/12.2038673
Show Author Affiliations
Ruth G. West, Univ. of North Texas (United States)
Todd Margolis, Univ. of California, San Diego (United States)
Andrew Prudhomme, Univ. of California, San Diego (United States)
Jürgen P. Schulze, Univ. of California, San Diego (United States)
Iman Mostafavi, Limbic Software, Inc. (United States)
J. P. Lewis, Victoria Univ. of Wellington (New Zealand)
Joachim Gossmann, Univ. of California, San Diego (United States)
Rajvikram Singh, Univ. of California, San Diego (United States)

Published in SPIE Proceedings Vol. 9012:
The Engineering Reality of Virtual Reality 2014
Margaret Dolinsky; Ian E. McDowall, Editor(s)

© SPIE. Terms of Use
Back to Top