JPL and USC, under the direction of Dr. Chris Mattmann, have worked to collect a corpus of “deep web” UFO datasets spanning many file types containing scientific data such as images, videos, and other information on the Web. These pieces of data were collected using Apache Nutch, Apache Tika, and Apache Solr.
Our goal is to aggregate this data into an intuitive search engine that scientists can utilize for UFO research. Additionally, the data is analyzed and illustrated using D3.js, providing researchers a better understanding of the data's relationship of UFO sightings.
View data sets from a variety of sources to better understand UFO relationships.
The Information Retrieval and Data Science Group’s (I.R.D.S.) mission is to research and develop new methodology and open source software to analyze, ingest, process, and manage Big Data and to turn it into information.
We have expertise in data collection and contribute to the world's largest and most often downloaded open-source projects, working with NASA, DARPA, DHS, NIH across a number of domains, Earth Science,Planetary Science, Astronomy, defense, and private industry.
Dr. Chris Mattmann - Visit his website
CS401 Group (Lorraine Sposto, Jonathan Luu, Ruthvik Peddawandla, Titus Jung, Janet Kim)
CS599 Spring 2018 Class - Visit the class website
CS572 Spring 2015 Class - Visit the class website