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Authors: Belgin Mutlu 1 ; Patrick Hoefler 1 ; Gerwald Tschinkel 1 ; Eduardo Veas 1 ; Vedran Sabol 2 ; Florian Stegmaier 3 and Michael Granitzer 3

Affiliations: 1 Know-Center, Austria ; 2 Know Center GmbH and Graz University of Technology, Austria ; 3 University of Passau, Germany

ISBN: 978-989-758-005-5

Keyword(s): Linked Data, RDF Data Cube, Visualisation, Visual Mapping, Research Data.

Related Ontology Subjects/Areas/Topics: Abstract Data Visualization ; Computer Vision, Visualization and Computer Graphics ; General Data Visualization ; Interactive Visual Interfaces for Visualization ; Knowledge-Assisted Visualization ; Scientific Visualization ; Spatial Data Visualization ; Visual Data Analysis and Knowledge Discovery

Abstract: Research papers are published in various digital libraries, which deploy their own meta-models and technologies to manage, query, and analyze scientific facts therein. Commonly they only consider the meta-data provided with each article, but not the contents. Hence, reaching into the contents of publications is inherently a tedious task. On top of that, scientific data within publications are hardcoded in a fixed format (e.g. tables). So, even if one manages to get a glimpse of the data published in digital libraries, it is close to impossible to carry out any analysis on them other than what was intended by the authors. More effective querying and analysis methods are required to better understand scientific facts. In this paper, we present the web-based CODE Visualisation Wizard, which provides visual analysis of scientific facts with emphasis on automating the visualisation process, and present an experiment of its application. We also present the entire analytical process and the corresponding tool chain, including components for extraction of scientific data from publications, an easy to use user interface for querying RDF knowledge bases, and a tool for semantic annotation of scientific data sets. (More)

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Paper citation in several formats:
Mutlu B., Hoefler P., Tschinkel G., Veas E., Sabol V., Stegmaier F. and Granitzer M. (2014). Suggesting Visualisations for Published Data.In Proceedings of the 5th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2014) ISBN 978-989-758-005-5, pages 267-275. DOI: 10.5220/0004674902670275

@conference{ivapp14,
author={Belgin Mutlu and Patrick Hoefler and Gerwald Tschinkel and Eduardo Veas and Vedran Sabol and Florian Stegmaier and Michael Granitzer},
title={Suggesting Visualisations for Published Data},
booktitle={Proceedings of the 5th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2014)},
year={2014},
pages={267-275},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004674902670275},
isbn={978-989-758-005-5},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2014)
TI - Suggesting Visualisations for Published Data
SN - 978-989-758-005-5
AU - Mutlu B.
AU - Hoefler P.
AU - Tschinkel G.
AU - Veas E.
AU - Sabol V.
AU - Stegmaier F.
AU - Granitzer M.
PY - 2014
SP - 267
EP - 275
DO - 10.5220/0004674902670275

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