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Authors: Julia Kindelsberger 1 ; Daniel Langerenken 1 ; Malte Husmann 2 ; Korbinian Schmid 2 and Hassan Chafi 2

Affiliations: 1 Oracle Labs, Technische Universität München, Ludwig-Maximilians-Universität München and Universität Augsburg, United States ; 2 Oracle Labs, United States

ISBN: 978-989-758-228-8

Keyword(s): Information Visualization, Graph Construction, Graph Drawing, Graph Exploration, Large Graph Visualization, Property Graph, Summary Visualization, Graph Construction Time Line.

Related Ontology Subjects/Areas/Topics: Abstract Data Visualization ; Computer Vision, Visualization and Computer Graphics ; Databases and Visualization, Visual Data Mining ; General Data Visualization ; Graph Visualization ; Information and Scientific Visualization ; Large Data Visualization ; Time-Dependent Visualization ; Visual Data Analysis and Knowledge Discovery

Abstract: Transforming existing data into graph formats and visualizing large graphs in a comprehensible way are two key areas of interest of information visualization. Addressing these issues requires new visualization approaches for large graphs that support users with graph construction and exploration. In addition, graph visualization is becoming more important for existing graph processing systems, which are often based on the property graph model. Therefore this paper presents concepts for visually constructing property graphs from data sources and a summary visualization for large property graphs. Furthermore, we introduce the concept of a graph construction time line that keeps track of changes and provides branching and merging, in a version control like fashion. Finally, we present a tool that visually guides users through the graph construction and exploration process.

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Paper citation in several formats:
Kindelsberger, J.; Langerenken, D.; Husmann, M.; Schmid, K. and Chafi, H. (2017). PGX.UI: Visual Construction and Exploration of Large Property Graphs.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 305-310. DOI: 10.5220/0006231603050310

@conference{ivapp17,
author={Julia Kindelsberger. and Daniel Langerenken. and Malte Husmann. and Korbinian Schmid. and Hassan Chafi.},
title={PGX.UI: Visual Construction and Exploration of Large Property Graphs},
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={305-310},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006231603050310},
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 - PGX.UI: Visual Construction and Exploration of Large Property Graphs
SN - 978-989-758-228-8
AU - Kindelsberger, J.
AU - Langerenken, D.
AU - Husmann, M.
AU - Schmid, K.
AU - Chafi, H.
PY - 2017
SP - 305
EP - 310
DO - 10.5220/0006231603050310

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