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  <title><![CDATA[Text and Ontology Driven Clinical Decision Support System]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/455/Text-and-Ontology-Driven-Clinical-Decision-Support-System</link>
  <description><![CDATA[This thesis discusses our ongoing research in the domain of text and ontology driven clinical decision support system. The proposed framework uses text analytics to extract clinical entities from electronic health records and semantic web analytics to generate a domain specific knowledge base (KB) of patients’ clinical facts. Clinical Rules expressed in the Semantic Web Language OWL are used to reason over the KB to infer additional facts about the patient. The KB is then queried to provide...]]></description>
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 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/100/Text-and-Ontology-Driven-Clinical-Decision-Support-System">
  <title><![CDATA[Text and Ontology Driven Clinical Decision Support System]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/100/Text-and-Ontology-Driven-Clinical-Decision-Support-System</link>
  <description><![CDATA[In this work, we discuss our ongoing research in the domain of text and ontology driven clinical
decision support system. The proposed framework uses text analytics to extract clinical entities
from electronic health records and semantic web analytics to generate a domain specific
knowledge base (KB) of patients‟ clinical facts. Clinical Rules expressed in the Semantic Web
Language OWL are used to reason over the KB to infer additional facts about the patient. The
KB is then queried to...]]></description>
  <dc:date>2012-08-01</dc:date>
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  <title><![CDATA[Advanced Large Scale Cross Domain Temporal Topic Modeling Algorithms to Infer the Influence of Recent Research on IPCC Assessment Reports]]></title>
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  <description><![CDATA[One way of understanding the evolution of science within a particular scientific discipline is by studying the temporal influences that research publications had on that discipline. We provide a methodology for conducting such an analysis by employing cross-domain topic modeling and local cluster mappings of those publications with the historical texts to understand exactly when and how they influenced the discipline. We apply our method to the Intergovernmental Panel on Climate Change (IPCC)...]]></description>
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  <title><![CDATA[Text and Ontology Driven Clinical Decision Support System]]></title>
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  <description><![CDATA[In this paper, we discuss our ongoing research in the domain of text and ontology driven clinical decision support 
system. The proposed framework uses text analytics to extract clinical entities from electronic health records and 
semantic web analytics to generate a domain specific knowledge base (KB) of patients’ clinical facts. Clinical Rules 
expressed in the Semantic Web Language OWL are used to reason over the KB to infer additional facts about the 
patient. The KB is then querie...]]></description>
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  <description><![CDATA[Our research focuses on developing new techniques and approaches to developing Question and Answer (QnA) systems. We focus on developing semantically rich , policy based applications that cater to a variety of domains like cybersecurity and Legal/Compliance.]]></description>
  <dc:date>2026-03-15</dc:date>
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  <title><![CDATA[Text and Ontology Driven Clinical Decision Support System]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/356/Text-and-Ontology-Driven-Clinical-Decision-Support-System</link>
  <description><![CDATA[In this work, we discuss our ongoing research in the domain of text and ontology driven clinical
decision support system. The proposed framework uses text analytics to extract clinical entities
from electronic health records and semantic web analytics to generate a domain specific
knowledge base (KB) of patients‟ clinical facts. Clinical Rules expressed in the Semantic Web
Language OWL are used to reason over the KB to infer additional facts about the patient. The
KB is then queried to...]]></description>
  <dc:date>2013-05-31</dc:date>
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