https://puma.ub.uni-stuttgart.de/group/researchcode/tools%20visualizationPUMA RSS feed for /group/researchcode/tools%20visualization2026-04-16T14:05:14+02:00https://puma.ub.uni-stuttgart.de/bibtex/209f16e8fe25f861e62651d003b10cb6c/diglezakisdiglezakis2024-12-06T13:34:57+01:00visualization tools knowledgegraph <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Rungsiman Nararatwong" itemprop="url" href="/person/1b8943f68661a4ae10db86dcb925d6494/author/0"><span itemprop="name">R. Nararatwong</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Natthawut Kertkeidkachorn" itemprop="url" href="/person/1b8943f68661a4ae10db86dcb925d6494/author/1"><span itemprop="name">N. Kertkeidkachorn</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ryutaro Ichise" itemprop="url" href="/person/1b8943f68661a4ae10db86dcb925d6494/author/2"><span itemprop="name">R. Ichise</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">2020 IEEE Third International Conference on Artificial Intelligence and Knowledge Engineering (AIKE)</span>, </em></span><em>page <span itemprop="pagination">174-178</span>. </em>(<em><span>December 2020<meta content="December 2020" itemprop="datePublished"/></span></em>)</span>Fri 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.Knowledge Graph Visualization: Challenges, Framework, and Implementation | IEEE Conference Publication | IEEE Xplorehttps://puma.ub.uni-stuttgart.de/bibtex/2263489bb008879e8aee40546ffe85a18/diglezakisdiglezakis2018-11-27T11:50:43+01:00provenance metadata visualization tools <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Peter Macko" itemprop="url" href="/person/1942c30c84f70ae3ff687864a277e15cd/author/0"><span itemprop="name">P. Macko</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Margo Seltzer" itemprop="url" href="/person/1942c30c84f70ae3ff687864a277e15cd/author/1"><span itemprop="name">M. Seltzer</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">TaPP</span>, </em></span>(<em><span>2011<meta content="2011" itemprop="datePublished"/></span></em>)</span>Tue Nov 27 11:50:43 CET 2018TaPPProvenance map orbiter: Interactive exploration of large provenance graphs.2011provenance metadata visualization tools https://puma.ub.uni-stuttgart.de/bibtex/2183c9818318897cca829040887a931d9/diglezakisdiglezakis2018-11-19T09:03:25+01:00forschungsdaten visualization tools statistics <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Vito D’Orazio" itemprop="url" href="/person/14290c728e7cafdf5f097f179ba61e5e1/author/0"><span itemprop="name">V. D’Orazio</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="James Honaker" itemprop="url" href="/person/14290c728e7cafdf5f097f179ba61e5e1/author/1"><span itemprop="name">J. Honaker</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"> </span>(<em><span>2016<meta content="2016" itemprop="datePublished"/></span></em>)</span>Mon Nov 19 09:03:25 CET 2018A User Guide to TwoRavens: An overview of features and capabilities2016forschungsdaten visualization tools statistics https://puma.ub.uni-stuttgart.de/bibtex/26ead8b362af6e29f42225c4a4b712c95/diglezakisdiglezakis2018-11-19T08:40:13+01:00forschungsdaten visualization data tools dataverse statistics <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="James Honaker" itemprop="url" href="/person/1832232a507428484cc9aedf97bcce01b/author/0"><span itemprop="name">J. Honaker</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Vito D&#039;Orazio" itemprop="url" href="/person/1832232a507428484cc9aedf97bcce01b/author/1"><span itemprop="name">V. D&#039;Orazio</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">HT (Doctoral Consortium / Late-breaking Results / Workshops)</span>, </em></span><em>volume 1210 of CEUR Workshop Proceedings, </em><em><span itemprop="publisher">CEUR-WS.org</span>, </em>(<em><span>2014<meta content="2014" itemprop="datePublished"/></span></em>)</span>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 TwoRavens: Analyse und Visualisierung tabellarischer Daten