Customizable Knowledge Graph Visualization using the Whyis Knowledge Explorer
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Authors
McCusker, Jamie
Issue Date
2024-11-11
Type
Article
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Abstract
Network visualization over large knowledge graphs suffers from multiple challenges: graphs have varying and sometimes multiple ways to represent what people expect a "link" to be - everything from direct triples to complex chemical interactions, social constructs, and OWL property restrictions can be considered a link. Additionally, large knowledge graphs cannot be usefully visualized as a whole because they are simply too large and complex, an any patterns are lost in the noise when there is enough computational ability to represent them. The Whyis Knowledge Explorer is a component of the Whyis knowledge graph development framework that addresses these issues. It allows for fast, customizable network visualization of large scale knowledge graphs. By providing a "starting point" with any specific node, users can explore the graph piece by piece, building a view up by expanding selected nodes on demand, making it easier to explore locally. By using “data views”, the component provides a consistent user interface over a wide range of entity types that can handle both simple and complex relationships between entities. These data views publish a consistent output from multiple templates and can be extended through plugins as well as by the implementing Knowledge Graph App (KGApp). Entity types can also be assigned custom styles through CSS using Cytoscape.js styling. Additionally, links can be qualified with certainty values, showing more probable links as having greater weight. We also use the same interface to provide a summary view of the knowledge graph by automatically generating concept maps of instantiated types, allowing users to see and explore overall usage patterns in the knowledge graph, highlighting both intended design and knowledge curation issues. This component has been a key part of many Whyis-based projects and is mature and scalable.
Description
Full Citation
McCusker, J. (2024). Customizable Knowledge Graph Visualization using the Whyis Knowledge Explorer. In Proceedings of the 9th International Workshop on the Visualization and Interaction for Ontologies, Linked Data and Knowledge Graphs. CEUR-WS.
Publisher
CEUR