Demonstration of a customizable knowledge graph visualization framework

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Date
2020
Volume
2761
Issue
Journal
CEUR workshop proceedings
Series Titel
Book Title
ISWC-Posters 2020: ISWC 2020 Posters, Demos, and Industry Tracks
Publisher
Aachen, Germany : RWTH Aachen
Link to publishers version
Abstract

In the context of the Semantic Web, various visualization methods and tools exist. However, suitable visualizations are highly de-pendent on individual use cases and targeted user groups. Therefore, existing solutions require modifications and adjustments to meet the de-mands of other use cases and user groups. In this demo, we present an approach for a unified framework addressing customizable visual rep-resentations of knowledge graphs. Our approach refines the commonly used steps in the visualization generation process (i.e., data access, map-ping to visual primitives, and rendering) for Semantic Web contexts. Separation of concerns for individual steps and a modular and customiz-able architecture build the foundation for a pipeline-based visualization framework. The framework enables the creation and selection of the right components for the right tasks, realizing a variety of use cases and visual representations in Semantic Web contexts.

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Citation
Wiens, V., & Lohmann, S. (2020). Demonstration of a customizable knowledge graph visualization framework (K. Taylor, R. Gonçalves, F. Lecue, & J. Yan, eds.) [K. Taylor, R. Gonçalves, F. Lecue, & J. Yan, eds.]. Aachen, Germany : RWTH Aachen.
License
CC BY 4.0 Unported