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
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.