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      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/810/Discovering-Scientific-Influence-using-Cross-Domain-Dynamic-Topic-Modeling"/>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/810/Discovering-Scientific-Influence-using-Cross-Domain-Dynamic-Topic-Modeling">
  <title><![CDATA[Discovering Scientific Influence using Cross-Domain Dynamic Topic Modeling]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/810/Discovering-Scientific-Influence-using-Cross-Domain-Dynamic-Topic-Modeling</link>
  <description><![CDATA[We describe an approach using dynamic topic
modeling to model influence and predict future trends in
a scientific discipline. Our study focuses on climate change
and uses assessment reports of the Intergovernmental Panel
on Climate Change (IPCC) and the papers they cite. Since
1990, an IPCC report has been published every five years
that includes four separate volumes, each of which has many
chapters. Each report cites tens of thousands of research
papers, which comprise a correlated ...]]></description>
  <dc:date>2017-12-11</dc:date>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/768/Dynamic-Topic-Modeling-to-Infer-the-Influence-of-Research-Citations-on-IPCC-Assessment-Reports">
  <title><![CDATA[Dynamic Topic Modeling to Infer the Influence of Research Citations on IPCC Assessment Reports]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/768/Dynamic-Topic-Modeling-to-Infer-the-Influence-of-Research-Citations-on-IPCC-Assessment-Reports</link>
  <description><![CDATA[A common Big Data problem is the need to integrate large temporal data sets from various data sources into one comprehensive structure. Having the ability to correlate evolving facts between data sources can be especially useful in supporting a number of desired application functions such as inference and influence identification. As a real world application we use climate change publications based on the Intergovernmental Panel on Climate Change, which publishes climate change assessment rep...]]></description>
  <dc:date>2016-12-05</dc:date>
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