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    Integrated Visualization and Analysis of a Multi-scale Biomedical Knowledge Space

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    Date
    2014
    Author
    Agibetov, Asan
    Vaquero, Ricardo Manuel Millan
    Friese, Karl-Ingo
    Patane, Giuseppe
    Spagnuolo, Michela ORCID
    Wolter, Franz-Erich
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    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.
    BibTeX
    @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}
    }
    URI
    http://dx.doi.org/10.2312/eurova.20141141
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    Eurographics Association copyright © 2013 - 2022 
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