We describe efforts to bring new methods of search analytics, machine learning, natural language processing and data visualization to address the challenge of finding and extracting meaning from unstructured text and multimedia content. We use the Polar domain to motivate the problem and our proposed solution. However our techniques are applicable and scalable to other domains.
S. J. S. Khalsa, C. A. Mattmann and R. Duerr, "Deep web crawling for insights from polar data," 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, TX, 2017, pp. 376-379. doi: 10.1109/IGARSS.2017.8126974This material is based upon work supported by the National Science Foundation under Grant No. 1639675. Opinions, findings, conclusions or recommendations expressed are those of the authors and do not reflect the views of the NSF.