starlight.pnnl.govPNNL: Starlight Visual Information System

Pacific Northwest National Laboratory Skip to Main Content U.S. Department of Energy Search PNNL PNNL Home About Research Publications Jobs Newsroom Contacts -- -- The Starlight Information Visualization System™ graphically depicts information, dramatically accelerating and improving human ability to derive meaningful knowledge from increasingly large and complex information resources. It is simultaneously a powerful information analysis tool and a platform for conducting advanced visualization research. Starlight uses a common XML-based information model which captures multiple types of relationships that may exist among disparate information. The model can flexibly accommodate the full range of information types expressible in XML—which is almost any type of digital information. Starlight is explicitly designed to manipulate the types of relationships humans need to understand in order to solve complex, multifaceted, real-world problems. Graphical representations enable the underlying relationships to be visually interpreted. Viewers can interactively move among multiple representations of the same information in order to uncover correlations that may span multiple relationship types. Starlight is one of many visual analytics tools and capabilities created at Pacific Northwest National Laboratory (PNNL). Visit our Information Visualization website for more information. Starlight - First Glance Novel "visible information" system Advanced information model Visualization-oriented user interface State-of-the-art information graphics Sophisticated query tools Data/text mining functionality Integrated Geographic Information System (GIS) Extensible Markup Language (XML)-based Client-server software architecture Windows XP and later Principle Benefits Information integration Complexity management Workflow continuity Accelerated interpretation Improved understanding Starlight Home Research Publications Contact Security & Privacy | Contact PNNL Last Update: August 2019 | Pacific Northwest National Laboratory...