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Authors: Pawandeep Kaur and Michael Owonibi

Affiliation: Friedrich-Schiller-University, Germany

ISBN: 978-989-758-228-8

Keyword(s): Data Visualization, Visualization Recommendation, Visual Mapping, Review, Survey, Graphic Selection.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; General Data Visualization ; Interactive Visual Interfaces for Visualization ; Knowledge-Assisted Visualization ; Perception and Cognition in Visualization ; Visualization Taxonomies and Models

Abstract: Choosing the best visualization of a given dataset becomes more and more complex as not only the amount of data, but also the number of visualization types and the number of potential uses of visualizations grow tremendously. This challenge has spurred on the research into visualization recommendation systems. The ultimate aim of such a system is the suggestion of visualizations which provide interesting insights into the data. It should ideally consider data characteristics, domain knowledge and individual preferences to produce aesthetically appealing and easy to understand charts. Based on the mentioned factors, we have reviewed in this paper the state-of-the-art in visualization recommendation systems starting from the earliest attempt made on this subject. We identify challenges to visualization and visualization recommendation to guide future research directions.

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Paper citation in several formats:
Kaur, P. and Owonibi, M. (2017). A Review on Visualization Recommendation Strategies.In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, (VISIGRAPP 2017) ISBN 978-989-758-228-8, pages 266-273. DOI: 10.5220/0006175002660273

@conference{ivapp17,
author={Pawandeep Kaur. and Michael Owonibi.},
title={A Review on Visualization Recommendation Strategies},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, (VISIGRAPP 2017)},
year={2017},
pages={266-273},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006175002660273},
isbn={978-989-758-228-8},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, (VISIGRAPP 2017)
TI - A Review on Visualization Recommendation Strategies
SN - 978-989-758-228-8
AU - Kaur, P.
AU - Owonibi, M.
PY - 2017
SP - 266
EP - 273
DO - 10.5220/0006175002660273

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