Details
Original language | English |
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Title of host publication | EuroVis Workshop on Visual Analytics |
Subtitle of host publication | EuroVA 2014 at EuroVis 2014 |
Pages | 25-29 |
Number of pages | 5 |
ISBN (electronic) | 9783905674682 |
Publication status | Published - 2014 |
Event | 5th International EuroVis Workshop on Visual Analytics, EuroVA 2014 at EuroVis 2014 - Swansea, United Kingdom (UK) Duration: 9 Jun 2014 → 10 Jun 2014 |
Publication series
Name | International Workshop on Visual Analytics |
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ISSN (electronic) | 2664-4487 |
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.
ASJC Scopus subject areas
- Computer Science(all)
- Computer Graphics and Computer-Aided Design
- Computer Science(all)
- Computer Vision and Pattern Recognition
- Computer Science(all)
- Signal Processing
- Computer Science(all)
- Software
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EuroVis Workshop on Visual Analytics: EuroVA 2014 at EuroVis 2014. 2014. p. 25-29 (International Workshop on Visual Analytics).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Integrated Visualization and Analysis of a Multi-scale Biomedical Knowledge Space
AU - Agibetov, Asan
AU - Vaquero, Ricardo Manuel Millán
AU - Friese, Karl Ingo
AU - Patanè, Giuseppe
AU - Spagnuolo, Michela
AU - Wolter, Franz Erich
N1 - Publisher Copyright: © 2019 International Workshop on Visual Analytics. All rights reserved.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84980408562&partnerID=8YFLogxK
U2 - 10.2312/eurova.20141141
DO - 10.2312/eurova.20141141
M3 - Conference contribution
AN - SCOPUS:84980408562
T3 - International Workshop on Visual Analytics
SP - 25
EP - 29
BT - EuroVis Workshop on Visual Analytics
T2 - 5th International EuroVis Workshop on Visual Analytics, EuroVA 2014 at EuroVis 2014
Y2 - 9 June 2014 through 10 June 2014
ER -