Paper
20 January 2009 BrainFrame: a knowledge visualization system for the neurosciences
Author Affiliations +
Proceedings Volume 7243, Visualization and Data Analysis 2009; 72430F (2009) https://doi.org/10.1117/12.812290
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States
Abstract
Neuroscience has benefited from an explosion of new experimental techniques; many have only become feasible in the wake of improvements in computing speed and data storage. At the same time, these new computation-intensive techniques have led to a growing gulf between the data and the knowledge extracted from those data. That is, in the neurosciences there is a paucity of effective knowledge management techniques and an accelerating accumulation of experimental data. The purpose of the project described in the present paper is to create a visualization of the knowledge base of the neurosciences. At run-time, this 'BrainFrame' project accesses several web-based ontologies and generates a semantically zoomable representation of any one of many levels of the human nervous system.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Steven J. Barnes and Chris D. Shaw "BrainFrame: a knowledge visualization system for the neurosciences", Proc. SPIE 7243, Visualization and Data Analysis 2009, 72430F (20 January 2009); https://doi.org/10.1117/12.812290
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Neuroscience

Visualization

Brain

Knowledge management

Databases

Information visualization

Organisms

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