Paper
8 February 2015 OSNAP! Introducing the open semantic network analysis platform
Peter J. Radics, Nicholas F. Polys, Shawn P. Neuman, William H. Lund
Author Affiliations +
Proceedings Volume 9397, Visualization and Data Analysis 2015; 939707 (2015) https://doi.org/10.1117/12.2077834
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
Abstract
Graph visualization continues to be a major challenge in the field of information visualization, meanwhile gaining importance due to the power of graph-based formulations across a wide variety of domains from knowledge representation to network flow, bioinformatics, and software optimization. We present the Open Semantic Network Analysis Platform (OSNAP), an open-source visualization framework designed for the flexible composition of 2D and 3D graph layouts. Analysts can filter and map a graph’s attributes and structural properties to a variety of geometric forms including shape, color, and 3D position. Using the Provider Model software engineering pattern, developers can extend the framework with additional mappings and layout algorithms. We demonstrate the framework’s flexibility by applying it to two separate domain ontologies and finally outline a research agenda to improve the value of semantic network visualization for human insight and analysis.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peter J. Radics, Nicholas F. Polys, Shawn P. Neuman, and William H. Lund "OSNAP! Introducing the open semantic network analysis platform", Proc. SPIE 9397, Visualization and Data Analysis 2015, 939707 (8 February 2015); https://doi.org/10.1117/12.2077834
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Visualization

Visual analytics

Network security

Algorithm development

Analytical research

Information visualization

Human-machine interfaces

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