PUMA publications for /group/researchcode/tools%20visualizationFri Dec 06 13:34:57 CET 20242020 IEEE Third International Conference on Artificial Intelligence and Knowledge Engineering (AIKE)12174-178Knowledge Graph Visualization: Challenges, Framework, and Implementation2020visualization tools knowledgegraph 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.Tue Nov 27 11:50:43 CET 2018TaPPProvenance map orbiter: Interactive exploration of large provenance graphs.2011provenance metadata visualization tools Mon Nov 19 09:03:25 CET 2018A User Guide to TwoRavens: An overview of features and capabilities2016forschungsdaten visualization tools statistics Mon Nov 19 08:40:13 CET 2018HT (Doctoral Consortium / Late-breaking Results / Workshops)conf/ht/2014dcCEUR Workshop ProceedingsStatistical Modeling by Gesture: A graphical, Browser-based Statistical Interface for Data Repositories.12102014forschungsdaten visualization data tools dataverse statistics