Pattern-based Visualization of Knowledge Graphs
Luigi Asprino, Christian Colonna, Misael Mongiov\`i, Margherita, Porena, Valentina Presutti

TL;DR
This paper introduces a pattern-based visualization method for knowledge graphs that leverages ontology design patterns and OPLa annotations to enhance user understanding and exploration.
Contribution
It presents a novel visualization approach using ontology patterns and visual frames, reducing cognitive load and improving interpretability of knowledge graphs.
Findings
Reduces user cognitive load during graph interpretation
Guides exploration through meaningful thematic paths
Demonstrates effectiveness with ontology pattern annotations
Abstract
We present a novel approach to knowledge graph visualization based on ontology design patterns. This approach relies on OPLa (Ontology Pattern Language) annotations and on a catalogue of visual frames, which are associated with foundational ontology design patterns. We demonstrate that this approach significantly reduces the cognitive load required to users for visualizing and interpreting a knowledge graph and guides the user in exploring it through meaningful thematic paths provided by ontology patterns.
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Taxonomy
TopicsSemantic Web and Ontologies · Data Visualization and Analytics · Advanced Text Analysis Techniques
