{"09f16e8fe25f861e62651d003b10cb6cdiglezakis":{"DOI":"10.1109/AIKE48582.2020.00034","ISBN":"","ISSN":"","URL":"","abstract":"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.","annote":"","author":[{"family":"Nararatwong","given":"Rungsiman"},{"family":"Kertkeidkachorn","given":"Natthawut"},{"family":"Ichise","given":"Ryutaro"}],"citation-label":"9355442","collection-editor":[],"collection-title":"","container-author":[],"container-title":"2020 IEEE Third International Conference on Artificial Intelligence and Knowledge Engineering (AIKE)","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2020","12"]],"literal":"2020"},"event-place":"","id":"09f16e8fe25f861e62651d003b10cb6cdiglezakis","interhash":"b8943f68661a4ae10db86dcb925d6494","intrahash":"09f16e8fe25f861e62651d003b10cb6c","issue":"","issued":{"date-parts":[["2020","12"]],"literal":"2020"},"keyword":"visualization tools knowledgegraph","misc":{"doi":"10.1109/AIKE48582.2020.00034"},"note":"","number":"","number-of-pages":"4","page":"174-178","page-first":"174","publisher":"","publisher-place":"","status":"","title":"Knowledge Graph Visualization: Challenges, Framework, and Implementation","type":"paper-conference","username":"diglezakis","version":"","volume":""}}