15 May 2015 Next generation data harmonization
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Abstract
Analysts are presented with a never ending stream of data sources. Often, subsets of data sources to solve problems are easily identified but the process to align data sets is time consuming. However, many semantic technologies do allow for fast harmonization of data to overcome these problems. These include ontologies that serve as alignment targets, visual tools and natural language processing that generate semantic graphs in terms of the ontologies, and analytics that leverage these graphs. This research reviews a developed prototype that employs all these approaches to perform analysis across disparate data sources documenting violent, extremist events.
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Chandler Armstrong, Chandler Armstrong, Ryan M. Brown, Ryan M. Brown, Jillian Chaves, Jillian Chaves, Adam Czerniejewski, Adam Czerniejewski, Justin Del Vecchio, Justin Del Vecchio, Timothy K. Perkins, Timothy K. Perkins, Ron Rudnicki, Ron Rudnicki, Greg Tauer, Greg Tauer, } "Next generation data harmonization", Proc. SPIE 9499, Next-Generation Analyst III, 94990D (15 May 2015); doi: 10.1117/12.2180458; https://doi.org/10.1117/12.2180458
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