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PGX.UI: visual construction and exploration of large property graphs

  • 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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Metadaten
Author:Julia Kindelsberger, Daniel Langerenken, Malte Husmann, Korbinian Schmid, Hassan Chafi
URN:urn:nbn:de:bvb:384-opus4-1200446
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/120044
ISBN:978-989-758-228-8OPAC
Parent Title (English):Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017), February 27-1, 2017, Porto, Portugal, volume 3
Publisher:SciTePress
Place of publication:Setúbal
Editor:Lars Linsen, Alexandru Telea, Jose Braz
Type:Conference Proceeding
Language:English
Year of first Publication:2017
Publishing Institution:Universität Augsburg
Release Date:2025/03/12
First Page:305
Last Page:310
DOI:https://doi.org/10.5220/0006231603050310
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Menschzentrierte Künstliche Intelligenz
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):CC-BY-NC-ND 4.0: Creative Commons: Namensnennung - Nicht kommerziell - Keine Bearbeitung (mit Print on Demand)

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