Proceedings Paper
Next generation data harmonization| Format | Member Price | Non-Member Price |
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| $17.00 | $21.00 |
Paper 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.
Paper Details
Date Published: 15 May 2015
PDF: 8 pages
Proc. SPIE 9499, Next-Generation Analyst III, 94990D (15 May 2015); doi: 10.1117/12.2180458
Published in SPIE Proceedings Vol. 9499:
Next-Generation Analyst III
Barbara D. Broome; Timothy P. Hanratty; David L. Hall; James Llinas, Editor(s)
PDF: 8 pages
Proc. SPIE 9499, Next-Generation Analyst III, 94990D (15 May 2015); doi: 10.1117/12.2180458
Show Author Affiliations
Chandler Armstrong, U.S. Army Corps of Engineers (United States)
Ryan M. Brown, CUBRC (United States)
Jillian Chaves, CUBRC (United States)
Adam Czerniejewski, CUBRC (United States)
Ryan M. Brown, CUBRC (United States)
Jillian Chaves, CUBRC (United States)
Adam Czerniejewski, CUBRC (United States)
Justin Del Vecchio, CUBRC (United States)
Timothy K. Perkins, U.S. Army Corps of Engineers (United States)
Ron Rudnicki, CUBRC (United States)
Greg Tauer, CUBRC (United States)
Timothy K. Perkins, U.S. Army Corps of Engineers (United States)
Ron Rudnicki, CUBRC (United States)
Greg Tauer, CUBRC (United States)
Published in SPIE Proceedings Vol. 9499:
Next-Generation Analyst III
Barbara D. Broome; Timothy P. Hanratty; David L. Hall; James Llinas, Editor(s)
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