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Authors: Nicholas Tan Jerome and Andreas Kopmann

Affiliation: Karlsruhe Institute of Technology, Germany

ISBN: 978-989-758-289-9

Keyword(s): Digital Library, Visual Exploration, Scientific Visualisation, Information Visualisation.

Related Ontology Subjects/Areas/Topics: Abstract Data Visualization ; Computer Vision, Visualization and Computer Graphics ; Data Management and Knowledge Representation ; General Data Visualization ; Large Data Visualization ; Visualization Applications

Abstract: With the advancement of instrument precision, research facilities are generating data at an unprecedented rate. These experimental results are stored in a digital library platform which the contents are later accessible from within the facility or the public. However, the sheer volume of collected data is overwhelming the capacity of researchers and impedes the process of browsing for the desired data. In this paper, we present a concept of Digital Visual Exploration Library (DVEL) based on the confluence of two major research domains—digital library and visualisation—that enables efficient browsing of the growing data within a digital library. We complement the current state-of-the-art textual metadata description by integrating visual exploration to address big complex data, i.e., data of large size, multimodal data and multivariate data. We describe our concept based on use cases from three unique domains: climate research with Doppler wind lidar, X-ray-imaging for entomolo gy research, and medical imaging with ultrasound computer tomography. (More)

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Paper citation in several formats:
Tan Jerome, N. and Kopmann, A. (2018). Digital Visual Exploration Library.In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2 HUCAPP: IVAPP, ISBN 978-989-758-289-9, pages 341-348. DOI: 10.5220/0006650003410348

@conference{ivapp18,
author={Nicholas Tan Jerome. and Andreas Kopmann.},
title={Digital Visual Exploration Library},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2 HUCAPP: IVAPP,},
year={2018},
pages={341-348},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006650003410348},
isbn={978-989-758-289-9},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2 HUCAPP: IVAPP,
TI - Digital Visual Exploration Library
SN - 978-989-758-289-9
AU - Tan Jerome, N.
AU - Kopmann, A.
PY - 2018
SP - 341
EP - 348
DO - 10.5220/0006650003410348

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