loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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

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. Base d on two usage scenarios, we demonstrate successful applications of the approach and discuss its benefits and limitations. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.207.161.212

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 (VISIGRAPP 2018) - IVAPP; ISBN 978-989-758-289-9; ISSN 2184-4321, SciTePress, 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 (VISIGRAPP 2018) - IVAPP},
year={2018},
pages={244-251},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006614902440251},
isbn={978-989-758-289-9},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - IVAPP
TI - Visual Analysis and Exploration of Entity Relations in Document Collections
SN - 978-989-758-289-9
IS - 2184-4321
AU - John, M.
AU - Heimerl, F.
AU - Vu, B.
AU - Ertl, T.
PY - 2018
SP - 244
EP - 251
DO - 10.5220/0006614902440251
PB - SciTePress