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	<pub:InProceedings rdf:about="http://ebiquity.umbc.edu/paper/html/id/810/Discovering-Scientific-Influence-using-Cross-Domain-Dynamic-Topic-Modeling">
		<rdfs:label><![CDATA[Discovering Scientific Influence using Cross-Domain Dynamic Topic Modeling]]></rdfs:label>
		<pub:title><![CDATA[Discovering Scientific Influence using Cross-Domain Dynamic Topic Modeling]]></pub:title>
		<pub:publishedOn rdf:datatype="&xsd;dateTime">2017-12-11T00:00:00-05:00</pub:publishedOn>
		<pub:abstract><![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 dataset of temporally
grounded documents. We use a custom dynamic topic modeling
algorithm to generate topics for both datasets and apply crossdomain
analytics to identify the correlations between the IPCC
chapters and their cited documents. The approach reveals both
the influence of the cited research on the reports and how
previous research citations have evolved over time. For the
IPCC use case, the report topic model used 410 documents
and a vocabulary of 5911 terms while the citations topic model
was based on 200K research papers and a vocabulary more
than 25K terms. We show that our approach can predict the
importance of its extracted topics on future IPCC assessments
through the use of cross domain correlations, Jensen-Shannon
divergences and cluster analytics.]]></pub:abstract>
		<pub:counter>1290</pub:counter>
		<pub:tag><![CDATA[big data; topic model; cross-domain correlation; data integration; domain influence;]]></pub:tag>
		<pub:booktitle><![CDATA[IEEE International Conference on Big Data]]></pub:booktitle>
		<pub:publisher><![CDATA[IEEE]]></pub:publisher>
		<pub:author>
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				<rdf:first>
					<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Tim/Finin"><person:name><![CDATA[Tim Finin]]></person:name><rdfs:label><![CDATA[Tim Finin]]></rdfs:label></person:Person>
				</rdf:first>
				<rdf:rest>					<rdf:List>
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							<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Mark/Cane"><person:name><![CDATA[Mark Cane]]></person:name><rdfs:label><![CDATA[Mark Cane]]></rdfs:label></person:Person>
						</rdf:first>
						<rdf:rest>							<rdf:List>
								<rdf:first>
									<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Jennifer/Sleeman"><person:name><![CDATA[Jennifer Sleeman]]></person:name><rdfs:label><![CDATA[Jennifer Sleeman]]></rdfs:label></person:Person>
								</rdf:first>
								<rdf:rest>									<rdf:List>
										<rdf:first>
											<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Milton/Halem"><person:name><![CDATA[Milton Halem]]></person:name><rdfs:label><![CDATA[Milton Halem]]></rdfs:label></person:Person>
										</rdf:first>
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		<pub:firstAuthor>
<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Tim/Finin"><person:name><![CDATA[Tim Finin]]></person:name><rdfs:label><![CDATA[Tim Finin]]></rdfs:label></person:Person>
		</pub:firstAuthor>
		<pub:relatedProject><project:PastProject rdf:about="http://ebiquity.umbc.edu/project/html/id/108/Modelling-the-evolution-of-climate-change-research"><project:title><![CDATA[Modelling the evolution of climate change research]]></project:title><rdfs:label><![CDATA[Modelling the evolution of climate change research]]></rdfs:label></project:PastProject></pub:relatedProject>
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			<pub:softCopyFormat><![CDATA[PDF Document]]></pub:softCopyFormat>
			<pub:softCopyURI><![CDATA[http://ebiquity.umbc.edu/get/a/publication/873.pdf]]></pub:softCopyURI>
			<pub:softCopySize>919988</pub:softCopySize>
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	</pub:InProceedings>

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