Knowledge Graph Visualization: Challenges, Framework, and Implementation
説明
A knowledge graph (KG) is a rich resource representing real-world facts. Visualizing a knowledge graph helps humans gain a deep understanding of the facts, leading to new insights and concepts. However, the massive and complex nature of knowledge graphs has brought many longstanding challenges, especially to attract non-expert users. This paper discusses these challenges; we turned them into a generic knowledge-graph visualization framework, namely KGViz, consisting of four dimensions: modularity, intuitive user interface, performance, and access control. Our implementation of KGViz is a high-capacity, extendable, and scalable KG visualizer, which we designed to promotes community contributions.
収録刊行物
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- 2020 IEEE Third International Conference on Artificial Intelligence and Knowledge Engineering (AIKE)
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2020 IEEE Third International Conference on Artificial Intelligence and Knowledge Engineering (AIKE) 174-178, 2020-12-01
IEEE
