Integrated Visualization and Analysis of a Multi-scale Biomedical Knowledge Space
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Date
2014
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
The study and analysis of relationships in a complex and multi-scale data set is a challenge of information and scientific visualization. This work proposes an integrated visualization to capture all the important aspects of multi-scale data into the same view by leveraging the multi-scale biomedical knowledge encoded into an underlying ontology. Ontology supports visualization by providing semantic means to identify relevant items that must be presented to the user. The study and analysis of relationships across the scales are presented as results of queries to the multi-scale biomedical knowledge space. We demonstrate the prototype of the graphical interface of an integrated visualization framework and the knowledge formalization support in an example scenario related to the musculoskeletal diseases.
Description
@inproceedings{10.2312:eurova.20141141,
booktitle = {EuroVis Workshop on Visual Analytics},
editor = {M. Pohl and J. Roberts},
title = {{Integrated Visualization and Analysis of a Multi-scale Biomedical Knowledge Space}},
author = {Agibetov, Asan and Vaquero, Ricardo Manuel Millan and Friese, Karl-Ingo and Patane, Giuseppe and Spagnuolo, Michela and Wolter, Franz-Erich},
year = {2014},
publisher = {The Eurographics Association},
ISBN = {978-3-905674-68-2},
DOI = {10.2312/eurova.20141141}
}