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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>USC Data Science - Polar Database</title>
<!-- Bootstrap Core CSS -->
<link href="css/bootstrap.min.css" rel="stylesheet">
<!-- Scrolling Nav CSS -->
<link href="css/scrolling-nav.css" rel="stylesheet">
<!-- Custom CSS -->
<link href="css/styles.css" rel="stylesheet">
</head>
<!-- The #page-top ID is part of the scrolling feature - the data-spy and data-target are part of the built-in Bootstrap scrollspy function -->
<body id="page-top" data-spy="scroll" data-target=".navbar-fixed-top">
<!-- Navigation -->
<div id="nav-main">
<nav class="navbar mav-main navbar-default navbar-fixed-top" role="navigation">
<div class="container">
<div class="navbar-header page-scroll">
<button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".navbar-ex1-collapse">
<span class="sr-only">Toggle navigation</span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
</button>
<a class="navbar-brand page-scroll" href="#page-top" style="color:white">Home</a>
</div>
<div class="collapse navbar-collapse navbar-ex1-collapse">
<ul class="nav navbar-nav navbar-custom">
<li class="hidden"><a class="page-scroll" href="#page-top" style="color:white"></a></li>
<li><a class="page-scroll" href="#about" style="color:#ffffff">About</a></li>
<li><a class="page-scroll" href="#progress" style="color:#ffffff">Presentations</a></li>
<li><a class="page-scroll" href="#features" style="color:#ffffff">Insights</a></li>
<li><a class="page-scroll" href="#search" style="color:#ffffff">Search</a></li>
<li><a class="page-scroll" href="#code" style="color:#ffffff">Projects</a></li>
<li><a class="page-scroll" href="#team" style="color:#ffffff">Team</a></li>
<li><a class="page-scroll" style="color:#ffffff" href="#learn-more">Partners</a></li>
</ul>
<a href="http://usc.edu" class="pull-right">
<img src="images/usc-primary-logotype.svg" width="176px" height="38px">
</a>
</div>
</div>
</nav>
</div>
<!-- Intro Section -->
<div>
<section id="intro" class="intro-section">
<div class="container" style="padding-top:100px">
<div class="row">
<div class="col-lg-12" >
<h1 class="title">Polar Data Insights</h1>
<h3>USC Data Science</h3>
</div>
</div>
<div class="row" style="padding-top:180px">
<div class="col-md-12">
<a class="btn btn-default btn-lg page-scroll" href="#about" style="margin-top:5%">Learn More</a>
</div>
</div>
<div class="row" style="padding-top:30px">
<div class="col-md-3 col-md-offset-1">
<a class="btn btn-default btn-lg page-scroll pull-right"
href="http://polar.usc.edu/Polar/banana/#/dashboard" style="margin-top:2%">Search Banana</a>
</div>
<div class="col-md-4">
<a class="btn btn-default btn-lg page-scroll"
href="html/d3-examples.html" style="margin-top:2%">Explore Visualizations</a>
</div>
<div class="col-md-3">
<a class="btn btn-default btn-lg page-scroll pull-left"
href="http://polar.usc.edu/Polar/facetview/" style="margin-top:2%">Search Facetview</a>
</div>
</div>
<div class="row" style="padding-top:30px">
<div class="col-md-4 col-md-offset-4">
<a class="btn btn-default btn-lg page-scroll btn-block"
href="/html/deep-insights.html" style="margin-top:2%">Deep Insights</a>
</div>
</div>
</div>
</section>
</div>
<!-- About Section -->
<div>
<section id="about" class="about-section" style="margin-top:-1%; margin-bottom:5%">
<div class="container">
<div class="row">
<hr class="about-divider">
<h1>About Us</h1>
<hr class="about-divider">
<div class="jumbotron" style="margin-bottom:5%; margin-top:3%">
<h2>What is Polar Data Insights?</h2>
<p class="lead text-left" style="margin-top:2%">JPL and USC, under the direction of Dr. Chris Mattmann, have worked to collect a corpus of “deep web” polar 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.</p>
<p class="lead text-left">Our goal is to aggregate this data into an intuitive search engine that scientists can utilize for polar research. Additionally, the data is analyzed and illustrated using visualization APIs Banana and D3.js, providing researchers a better understanding of the data's relationship within the Polar ecosystem.</p>
</div>
<div class="col-md-4">
<div class="media">
<div class="media-left">
<img class="media-object" src="images/searchimg.jpg" alt="...">
</div>
<div class="media-body">
<h4 class="media-heading">Search Engine</h4>
Providing researchers with a powerful tool to find relevant data sets and websites.
</div>
</div>
</div>
<div class="col-md-4">
<div class="media">
<div class="media-left">
<img class="media-object" src="images/visualimg.jpg" alt="...">
</div>
<div class="media-body">
<h4 class="media-heading">Visualizer</h4>
Illustrating data set connections and related terms to narrow searches.
</div>
</div>
</div>
<div class="col-md-4">
<div class="media">
<div class="media-left">
<img class="media-object" src="images/publicizer.png" alt="...">
</div>
<div class="media-body">
<h4 class="media-heading">Publicizer</h4>
Demonstrate the value of these polar data sets to the NSF, USC, and NASA.
</div>
</div>
</div>
</div>
</div>
</section>
</div>
<!-- Progress Section -->
<div>
<section id="progress" class="about-section" style="margin-top:-1%; margin-bottom:5%">
<div class="container">
<div class="row">
<hr class="about-divider">
<h1>Presentations</h1>
<hr class="about-divider">
<div class="jumbotron" style="margin-bottom:5%; margin-top:3%">
<h3>Meetings and Conferences</h3><br>
<table class="table">
<thead>
<tr>
<th scope="col"><center>Date</center></th>
<th scope="col"><center>Meeting</center></th>
<th scope="col"><center>Location</center></center></th>
<th scope="col"><center>Link</center></th>
</tr>
</thead>
<tbody>
<tr>
<td>4 April 2017</td>
<td>Arctic Science Summit Week</td>
<td>Prague, Czechia</td>
<td>Presented in session "ARCTIC DATA AND INFORMATION SCIENCE MEETS SYSTEM SCIENCE"<br><a href="https://www.uarctic.org/calendar/arctic-science-summit-week-2017/">Details</a></td>
</tr>
<tr>
<td>24 July 2017</td>
<td>International Geoscience and Remote Sensing Symposium</td>
<td>Ft. Worth, USA</td>
<td>Presented in session "Intelligence for Big Geospatial Data"<br><a href="https://www2.securecms.com/IGARSS2017/Default.asp">Details</a></td>
</tr>
<tr>
<td>16-18 September 2017</td>
<td>SAON - Arctic Data Committee</td>
<td>Montreal, Canada</td>
<td><a href="https://arcticdc.org/about-us/saon">Details</a></td>
</tr>
<tr>
<td>19-20 September 2017</td>
<td>Research Data Alliance</td>
<td>Montreal, Canada</td>
<td><a href="https://www.rd-alliance.org">Details</a></td>
</tr>
<tr>
<td>4-5 October 2017</td>
<td>NITR Open Knowledge Network</td>
<td>Washington DC, USA</td>
<td><a href="https://www.nitrd.gov/news/Open_Knowledge_Network.aspx">Details</a></td>
</tr>
<tr>
<td>11-15 December 2017</td>
<td>Fall AGU</td>
<td>Washington DC, USA</td>
<td><a href="https://fallmeeting.agu.org/2017/">Details</a><br><a href="resources/PolarInsightsFall17AGU.pdf">Presentation</a></td>
</tr>
<tr>
<td>8 January 2018</td>
<td>Semantics Symposium</td>
<td>Washington DC, USA</td>
<td><a href="https://fallmeeting.agu.org/2017/">Details</a><br><a href="resources/PolarInsightsFall17AGU.pdf">Presentation</a></td>
</tr>
<tr>
<td>9-11 January 2018</td>
<td>ESIP Winter Meeting</td>
<td>Washington DC, USA</td>
<td>Poster Presentation<br><a href="http://www.esipfed.org/meetings/upcoming-meetings/esip-winter-meeting-2018">Details</a><!-- <a href="resources/Tailoring&Analyzing.pdf">Presentation</a>--></td>
</tr>
<tr>
<td>1-2 March 2018</td>
<td>1st U.S. Semantic Technologies Symposium (US2TS)</td>
<td>Wright State University, Dayton, Ohio, USA</td>
<td><a href="http://us2ts.org/2018/">Details</a><!-- <a href="resources/Tailoring&Analyzing.pdf">Presentation</a>--></td>
</tr>
<tr>
<td>21-23 March 2018</td>
<td>Research Data Alliance</td>
<td>Berlin, Germany</td>
<td><a href="https://www.rd-alliance.org/plenaries/rda-eleventh-plenary-meeting-berlin-germany">Details</a><!-- <a href="resources/Tailoring&Analyzing.pdf">Presentation</a>--></td>
</tr>
<tr>
<td>6-8 June 2018</td>
<td>Earthcube All Hands Meeting</td>
<td>Washington DC, USA</td>
<td><a href="https://www.earthcube.org/ECAHM2018">Details</a><br> <a href="resources/EarthcubeAHM__Ocean-Observation.pdf">Poster</a></td>
</tr>
<tr>
<td>17-20 July 2018</td>
<td>ESIP Summer Meeting</td>
<td>Tucson, USA</td>
<td><a href="https://2018esipsummermeeting.sched.com">Details</a><!-- <a href="resources/Tailoring&Analyzing.pdf">Presentation</a>--></td>
</tr>
</tbody>
</table>
</div>
</div>
</div>
</section>
</div>
<!-- Features Section -->
<div>
<section id="features" class="features-section" style="margin-top:-1%; margin-bottom:5%">
<div class="container">
<div class="row">
<div class="col-lg-12">
<hr class="featurette-divider">
<h1>Insights</h1>
<hr class="featurette-divider">
</div>
<!--Banana Feature-->
<div class="row featurette" style="margin-top:3%; margin-bottom:3%">
<div class="col-md-7">
<h2 align=left class="featurette-heading"><a href="https://github.com/lucidworks/banana">Banana</a> For Solr. <span class="text-muted">Search Simplified</span></h2>
<p align=left class="lead">Search multiple keywords simultaneously for thousands of relevant URLs.</p>
<p align=left class="lead"> Add filters for more refined results using Banana's live-updating visualizations.</p>
<p align=left class="lead"> <a href="http://polar.usc.edu/Polar/banana/#/dashboard"> Go to the Banana Dashboard. </a> </p>
</div>
<div class="col-md-5">
<img class="featurette-image img-responsive center-block" src="images/banana_feature.png" alt="Generic placeholder image">
</div>
</div>
<hr class="featurette-divider">
<!--D3.js Feature-->
<div class="row featurette" style="margin-top:3%; margin-bottom:3%">
<div class="col-md-7 col-md-push-5">
<h2 align=left class="featurette-heading"><a href="https://d3js.org/">D3.js</a>. <span class="text-muted">See for yourself.</span></h2>
<p align=left class="lead">View data sets from a variety of sources to better understand polar relationships. </p>
<p align=left class="lead"> <a href="html/d3-examples.html"> View some of our visualizations. </a> </p>
</div>
<div class="col-md-5 col-md-pull-7">
<img class="featurette-image img-responsive center-block" src="images/d3_feature.png" alt="Generic placeholder image">
</div>
</div>
<hr class="featurette-divider">
<!--Facetview Feature-->
<div class="row featurette" style="margin-top:3%">
<div class="col-md-7">
<h2 align=left class="featurette-heading"><a href="http://okfnlabs.org/facetview/">Facetview</a>. <span class="text-muted">Experience Solr.</span></h2>
<p align=left class="lead">Filter searches using facets and easily save, share, and consume documents from the Deep Web. </p>
<p align=left class="lead"> <a href="http://polar.usc.edu/Polar/facetview/"> Go to the Facetview Dashboard. </a> </p>
</div>
<div class="col-md-5">
<img class="featurette-image img-responsive center-block" src="images/facetview_feature.png" alt="Generic placeholder image">
</div>
</div>
</div>
</div>
</section>
</div>
<!-- Search Section -->
<div>
<section id="search" class="search-section" style="margin-bottom:3%">
<div class="container">
<div class="row">
<div class="col-lg-12" style="margin-top:5%">
<hr class="featurette-divider">
<h1 align=center>Search</h1>
<hr class="featurette-divider">
</div>
<div class="col-lg-12" style="margin-bottom:5%">
<h4><span class="text-muted">Every year, TREC solicits novel search topics with which to test and improve their latest and greatest ranking algorithms. This year, our group at USC has submitted >30,000 files from various Polar domains as well as created a collection of important queries for searching.</span></h4>
<h4><span class="text-muted"><a href="http://cryolist.464407.n3.nabble.com/Scientific-Relevancy-in-Web-Search-td4027119.html">Click here to see a list of important queries</a> or select a search option below.</span></h4>
</div>
</div>
<div>
<div class="col-lg-6">
<a href="http://polar.usc.edu/Polar/facetview/" class="thumbnail">
<img src="images/facetcard.png" alt="...">
</a>
</div>
<div class="col-lg-6">
<a href="http://polar.usc.edu/Polar/banana/#/dashboard" class="thumbnail">
<img src="images/bananacard.png" alt="...">
</a>
</div>
</div>
</div>
</section>
</div>
<!-- Code Section -->
<div>
<section id="code" class="search-section" style="margin-bottom:3%">
<div class="container">
<div class="col-lg-12" style="margin-top:8%">
<hr class="featurette-divider" style="margin-top:-1%">
<h1 align=center>USC Data Science Projects</h1>
<hr class="featurette-divider">
</div>
<div class="row">
<div class="col-md-4 col-sm-4 col-xs-6" style="margin-top:3%">
<div class="panel panel-success">
<div class="panel-heading">
<h4>Apache Sparkler Post Processing using Machine Learning</h4>
</div>
<div class="panel-body">
<p>
This code gets connected to Solr DB created for Sparkler Crawled Data to do further data extraction, classification, filtering and insights generation using various Machine Learning models.
</p>
<p>
The ML models are capable of using keywords list from user, extract features from URL content, and classify (score) output and update Solr parameter accordingly.
</p> <br><br>
</div>
<div class="panel-footer">
<a href="https://github.com/USCDataScience/PolarPostProcessing" class="btn btn-success ">Visit</a>
</div>
</div>
</div>
<div class="col-md-4 col-sm-4 col-xs-6" style="margin-top:3%">
<div class="panel panel-info">
<div class="panel-heading">
<h4>Polar Deep Insights</h4>
</div>
<div class="panel-body">
<p>
The Polar Deep Insights project is a tool that can be used as generic content extraction and evaluation tool on any dataset.
</p>
<p>
It is a Dockerized Pipeline consisting of a content extraction, enrichment and rich visualization interface to explore the spatial-conceptual-temporal trec polar dataset and documents downloaded from ACADIS, AMD, and NSIDC websites crawled using Sparkler Web Crawler.We plan to use this to gain deep insights about climate change and its impact on the Arctic region.
</p>
</div>
<div class="panel-footer">
<a href="https://github.com/USCDataScience/polar-deep-insights" class="btn btn-info ">Visit</a>
</div>
</div>
</div>
<div class="col-md-4 col-sm-4 col-xs-6" style="margin-top:3%">
<div class="panel panel-warning">
<div class="panel-heading">
<h4>Domain Relevant Data Collection using Google Search API</h4>
</div>
<div class="panel-body">
<p>
This project uses Google Search API to provide a list of most occurred urls based on domain keywords and phrases list. The code generates the phrases first based on the provided keywords and then uses them for searching.
</p>
<p>
After each search, top 10 urls(or all active & working URLs from the first page) are considered and added to a dictionary. Iterating through all keywords, the dictionary is finally sorted based on the frequency of occurrence.
</p>
</div>
<div class="panel-footer">
<a href="https://github.com/USCDataScience/PolarDataCollection" class="btn btn-warning ">Visit</a>
</div>
</div>
</div>
</div>
<div class="row">
<div class="col-md-4 col-sm-4 col-xs-6" style="margin-top:3%">
<div class="panel panel-danger">
<div class="panel-heading">
<h4>Sparkler</h4>
</div>
<div class="panel-body">
<p>
A web crawler is a bot program that fetches resources from the web for the sake of building applications like search engines, knowledge bases, etc. Sparkler (contraction of Spark-Crawler) is a new web crawler that makes use of recent advancements in distributed computing and information retrieval domains by conglomerating various Apache projects like Spark, Kafka, Lucene/Solr, Tika, and pf4j.
</p>
<p>
Sparkler is an extensible, highly scalable, and high-performance web crawler that is an evolution of Apache Nutch and runs on Apache Spark Cluster.
</p><br>
</div>
<div class="panel-footer">
<a href="https://github.com/USCDataScience/sparkler" class="btn btn-danger ">Visit</a>
</div>
</div>
</div>
<div class="col-md-4 col-sm-4 col-xs-6" style="margin-top:3%">
<div class="panel panel-warning">
<div class="panel-heading">
<h4>PDI Topics</h4>
</div>
<div class="panel-body">
<p>
LDA topic modeling for Polar Deep Insights.
</p>
<p>
</p>
</div>
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<a href="https://github.com/USCDataScience/pdi-topics" class="btn btn-warning ">Visit</a>
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<h4>Polar Domain Discovery</h4>
</div>
<div class="panel-body">
<p>
Domain Discovery on Polar Domain
</p>
<p>
</p>
</div>
<div class="panel-footer">
<a href="https://github.com/USCDataScience/polar-domain-discovery" class="btn btn-info ">Visit</a>
</div>
</div>
</div>
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<h4>Ocean_Observation_FacetView</h4>
</div>
<div class="panel-body">
<p>
This is a FacetView setup for ocean observation Crawled Data.
</p>
<p>
</p>
</div>
<div class="panel-footer">
<a href="https://github.com/USCDataScience/Ocean_Observation_FacetView" class="btn btn-success ">Visit</a>
</div>
</div>
</div>
</div>
</div>
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<h1 align=center>Team</h1>
<hr class="featurette-divider">
</div>
<!-- Need to add more names and their webiste links -->
<div class="row">
<p><a href="http://sunset.usc.edu/~mattmann/">Chris Mattmann</a></p>
<p>Wayne M Burke</p>
<p><a href="http://ronininstitute.org/research-scholars/ruth-duerr/">Ruth Duerr</a></p>
<p><a href="http://cires1.colorado.edu/~khalsa/Khalsas_Stupendous_Web_Page/Khalsas_Stupendous_Homepage.html">Siri Jodha Singh Khalsa</a></p>
<p>Simin Ahmadi Karvigh</p>
<p>Omid Davtalab</p>
<p>Thamme Gowda</p>
<p>Nithin Krishna Ottilingam</p>
<p>Karanjeet Singh</p>
<p>Madhav Sharan</p>
<p>Srinidhi Nandakumar</p>
<p>Prerana Teligi Harapanahalli Math</p>
<p>Dixita Patel</p>
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</section>
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<h1 align=center>USC Data Science Partner Sites</h1>
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<h4>TREC/Data Description</h4>
</div>
<div class="panel-body">
<p>
The goal of the Text Retrieval Conference (TREC) is to encourage research in information retrieval
from large text collections by providing interesting and understudied domains of documents to crawl.
</p>
<p>
Currently, the polar domains contains the
NSF-funded Advanced Cooperative Artic Data and Information System (ACADIS),
NASA-funded Antarctic Master Directory (AMD), and National Snow and Ice Data Center (NSIDC) Arctic Data Explorer.
Our data was retrieved using these directories and submitted to TREC in 2015.
</p>
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<a href="https://github.com/chrismattmann/trec-dd-polar/" class="btn btn-success ">Visit TREC</a>
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<div class="col-md-4 col-sm-4 col-xs-6" style="margin-top:3%">
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<div class="panel-heading">
<h4>Polar Hack - November 2014</h4>
</div>
<div class="panel-body">
<p>
Hosted by the NSF, the goal of this hackathon was to implement visualizations of existing
polar data sets to support new discoveries and promote cross agency collaboration between the NSF, NASA, NOAA and other Arctic/Polar related agencies.
</p>
<p>
Ultimately, the workshop fostered the understanding of the variability
of the polar regions at different timescales, allowing the NSF to make longer-term
investments in technologies and visualizations that can be adopted by the community.
</p>
</div>
<div class="panel-footer">
<a href="http://nsf-polar-cyberinfrastructure.github.io/datavis-hackathon" class="btn btn-info ">Visit DataVis</a>
</div>
</div>
</div>
<div class="col-md-4 col-sm-4 col-xs-6" style="margin-top:3%">
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<div class="panel-heading">
<h4>IRDS</h4>
</div>
<div class="panel-body">
<p>
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.
</p>
<p>
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.
</p>
</div>
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<a href="http://irds.usc.edu/" class="btn btn-warning ">Visit IRDS</a>
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<h3 align=center>Credits</h3>
<hr class="featurette-divider">
<div class="row">
<p>Dr. Chris Mattmann - <a href="http://sunset.usc.edu/~mattmann/">Visit his website</a></p>
<p>CS401 Group (Lorraine Sposto, Jonathan Luu, Ruthvik Peddawandla, Titus Jung, Janet Kim)</p>
<p>CS599 Spring 2016 Class - <a href="http://sunset.usc.edu/classes/cs599_2016/">Visit the class website</a></p>
<p>CS572 Spring 2015 Class - <a href="http://sunset.usc.edu/classes/cs572_2015/">Visit the class website</a></p>
</div>
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<p align=center>©USC Data Science Group 2016, All Rights Reserved</p>
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