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Authors: Markus John 1 ; Florian Heimerl 2 ; Ba-Anh Vu 1 and Thomas Ertl 1

Affiliations: 1 University of Stuttgart, Germany ; 2 University of Wisconsin-Madison, United States

ISBN: 978-989-758-289-9

Keyword(s): Exploratory Visual Text Analytics, Digital Humanities, Document Visualization, Natural Language Processing.

Related Ontology Subjects/Areas/Topics: Abstract Data Visualization ; Computer Vision, Visualization and Computer Graphics ; Text and Document Visualization ; Visual Data Analysis and Knowledge Discovery

Abstract: Interactive text visualization can help users explore and gain insights into complex and often large document sets. One popular visualization strategy to represent such collections is to depict each document as a glyph in 2D space. These spaces have proven effective, especially when combined with interactive exploration methods. However, current exploratory approaches are largely limited to single areas of a 2D spatialization, lacking support for important comparative exploration and analysis tasks. In this paper, we extend a flexible focus+context exploration technique to tackle this challenge. In particular, based on practical tasks from the digital humanities, we focus on exploring and investigating relationships between entities in large document collections. Our approach uses natural language processing to extract characters and places, including information about their relationships. We then use linked views to facilitate visual analysis of extracted information artifacts. Based on two usage scenarios, we demonstrate successful applications of the approach and discuss its benefits and limitations. (More)

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Paper citation in several formats:
John, M.; Heimerl, F.; Vu, B. and Ertl, T. (2018). Visual Analysis and Exploration of Entity Relations in Document Collections.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 244-251. DOI: 10.5220/0006614902440251

@conference{ivapp18,
author={Markus John. and Florian Heimerl. and Ba{-}Anh Vu. and Thomas Ertl.},
title={Visual Analysis and Exploration of Entity Relations in Document Collections},
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={244-251},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006614902440251},
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 - Visual Analysis and Exploration of Entity Relations in Document Collections
SN - 978-989-758-289-9
AU - John, M.
AU - Heimerl, F.
AU - Vu, B.
AU - Ertl, T.
PY - 2018
SP - 244
EP - 251
DO - 10.5220/0006614902440251

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